-----------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  Z:\home\alex\Research\Projects\budget_game\analysis-clean\Stata_scripts.log
  log type:  text
 opened on:  11 Jun 2019, 11:07:21

. 
. do 7-estimate_regression_models.do

. /* set more off */
. /* capture log close */
. /* clear */
. 
. use "./generated_data/3-budget_data_with_estimated_positions.dta"
(Written by R.              )

. 
. /* CASE SELECTION */
. /* -------------- */    
. /* only keep ministers who participated in the budget debate (i.e.,
>    drop those for which estimated policy positions are not available) */
. drop if ws_cab_rescaled == .
(365 observations deleted)

. 
. /* drop reference documents */
. /* keep if pm==0 & fm==0 & portfolio!="Taoiseach" & portfolio!="Finance"*/
. drop if portfolio=="Taoiseach" | portfolio=="Finance"
(43 observations deleted)

. 
. /* VARIABLES */
. /* --------- */    
. /* encode portfolio varibale */
. rename portfolio portfolio_tmp

. encode portfolio_tmp, gen(portfolio)

. drop portfolio_tmp

. 
. /* generate categorical variable for FMs */
. replace fm = .
(168 real changes made, 168 to missing)

. replace fm = 1 if budget_year>=1999 & budget_year<=2004
(58 real changes made)

. replace fm = 2 if budget_year>=2005 & budget_year<=2008
(45 real changes made)

. replace fm = 3 if budget_year>=2009 & budget_year<=2011
(41 real changes made)

. replace fm = 4 if budget_year>=2012 & budget_year<=2013
(24 real changes made)

. 
. label def fm 1 "McCreevy" 2 "Cowen" 3 "Lenihan" 4 "Noonan"

. label val fm fm

. 
. 
. /* generate categorical variable for PMs */
. replace pm = .    
(168 real changes made, 168 to missing)

. replace pm = 1 if budget_year>=1999 & budget_year<=2008
(103 real changes made)

. replace pm = 2 if budget_year>=2009 & budget_year<=2011
(41 real changes made)

. replace pm = 3 if budget_year>=2012 & budget_year<=2013
(24 real changes made)

. 
. label def pm 1 "Ahern" 2 "Cowen" 3 "Kenny"

. label val pm pm

. 
. 
. /* dummy variable for junior ministers */
. gen junior = position=="Minister of State"

. 
. /* dummy variable: 1 if (junior)minister is from the same party as the PM */
. gen same_party = (party_name=="Fianna Fáil" & budget_year>=1999 & budget_year<=2011) | (party_name=="Fine Gael" & budget_year>=2012 & 
> budget_year<=2013)

. 
. /* add debt data to debate year */
. preserve    

. clear    

. insheet using "./original_data/debt_data_worldbank.csv"
(2 vars, 16 obs)

. sort year

. rename year debate_year

. save "./generated_data/7-debt", replace
(note: file ./generated_data/7-debt.dta not found)
file ./generated_data/7-debt.dta saved

. restore

. 
. sort debate_year

. merge m:1 debate_year using "./generated_data/7-debt"

    Result                           # of obs.
    -----------------------------------------
    not matched                             1
        from master                         0  (_merge==1)
        from using                          1  (_merge==2)

    matched                               168  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if debate_year < 1998 | debate_year > 2012
(1 observation deleted)

. 
. 
. /* add unemployment data to debate year */
. preserve

. clear

. insheet using "./original_data/annual_unemployment_rate.csv"
(2 vars, 31 obs)

. sort year

. rename year debate_year

. save "./generated_data/7-annual_unemployment_rate", replace
(note: file ./generated_data/7-annual_unemployment_rate.dta not found)
file ./generated_data/7-annual_unemployment_rate.dta saved

. restore

. 
. sort debate_year

. merge m:1 debate_year using "./generated_data/7-annual_unemployment_rate"

    Result                           # of obs.
    -----------------------------------------
    not matched                            16
        from master                         0  (_merge==1)
        from using                         16  (_merge==2)

    matched                               168  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if debate_year < 1998 | debate_year > 2012
(16 observations deleted)

. 
. 
. /* GEN CHANGES IN ECONOMIC MEASURES */
. bysort debate_year: gen tmp = _n

. replace tmp = . if tmp > 1
(153 real changes made, 153 to missing)

. sort tmp debate_year

. 
. 
. gen dpgChange_tmp = dpg - dpg[_n-1]
(1 missing value generated)

. gen urChange_tmp  = ur - ur[_n-1]
(1 missing value generated)

. 
. replace dpgChange_tmp = . if tmp==. 
(153 real changes made, 153 to missing)

. replace urChange_tmp  = . if tmp==. 
(153 real changes made, 153 to missing)

. 
. bysort debate_year: egen dpgChange = max(dpgChange_tmp)
(17 missing values generated)

. bysort debate_year: egen urChange  = max(urChange_tmp)
(17 missing values generated)

. 
. drop tmp *_tmp

. 
. corr dpg ur
(obs=168)

             |      dpg       ur
-------------+------------------
         dpg |   1.0000
          ur |   0.9617   1.0000


. corr dpgChange urChange
(obs=151)

             | dpgCha~e urChange
-------------+------------------
   dpgChange |   1.0000
    urChange |   0.7801   1.0000


. 
. 
. /* SAVE DATA THAT'S BEING USED FOR REGRESSION MODELS */
. save "./generated_data/7-data_for_regression_models.dta", replace
(note: file ./generated_data/7-data_for_regression_models.dta not found)
file ./generated_data/7-data_for_regression_models.dta saved

. 
. 
. /* REGRESSION OUTPUT IN LATEX -- ONE LARGE TABLE */
. label var junior "Junior minister"

. label var same_party "Same party"

. label var dpgChange "Change in debt"

. label var urChange "Change in unemployment rate"

. label var ws_cab_rescaled "Intra-cabinet position"

. 
. /* conditional on debt */
. estimates clear

. reg change_capital_share junior same_party c.dpgChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1919
                                                       Root MSE      =  .30765

                                            (Std. Err. adjusted for 14 clusters in budget_year)
-----------------------------------------------------------------------------------------------
                              |               Robust
         change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------+----------------------------------------------------------------
                       junior |   .0014478   .0325392     0.04   0.965    -.0688488    .0717445
                   same_party |  -.0004944   .0585264    -0.01   0.993     -.126933    .1259442
                    dpgChange |  -.0082171   .0029545    -2.78   0.016    -.0145999   -.0018342
              ws_cab_rescaled |  -.1804771   .0712173    -2.53   0.025    -.3343328   -.0266214
                              |
c.dpgChange#c.ws_cab_rescaled |   .0118658   .0042567     2.79   0.015     .0026697    .0210619
                              |
                    portfolio |
                           2  |    .030527   .0778882     0.39   0.701    -.1377402    .1987942
                           3  |    .145362    .061593     2.36   0.035     .0122984    .2784255
                           4  |   .1081107   .0603787     1.79   0.097    -.0223296     .238551
                           5  |   .0492531   .0720513     0.68   0.506    -.1064042    .2049104
                           6  |   .0283426   .0760058     0.37   0.715     -.135858    .1925431
                           7  |  -.2296173   .2943563    -0.78   0.449    -.8655354    .4063008
                           8  |   .0964297    .068339     1.41   0.182    -.0512077    .2440671
                           9  |   .0150836   .0519494     0.29   0.776    -.0971463    .1273136
                          10  |  -.0673557   .1252479    -0.54   0.600    -.3379374     .203226
                          11  |  -.0020413   .0632452    -0.03   0.975    -.1386742    .1345917
                          12  |   .0728287   .0771706     0.94   0.363    -.0938882    .2395456
                          13  |  -.0154492   .0449165    -0.34   0.736    -.1124854    .0815871
                          14  |  -.1744066   .2128168    -0.82   0.427    -.6341693    .2853562
                              |
                        _cons |  -.0132357   .0911901    -0.15   0.887    -.2102399    .1837684
-----------------------------------------------------------------------------------------------

. estimates store debt_capital

. 
. reg change_current_share junior same_party c.dpgChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1370
                                                       Root MSE      =  .65063

                                            (Std. Err. adjusted for 14 clusters in budget_year)
-----------------------------------------------------------------------------------------------
                              |               Robust
         change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------+----------------------------------------------------------------
                       junior |   .0077244   .0515951     0.15   0.883      -.10374    .1191889
                   same_party |  -.0901185   .0570608    -1.58   0.138    -.2133909    .0331539
                    dpgChange |    .007646   .0021307     3.59   0.003      .003043    .0122491
              ws_cab_rescaled |  -.0340381   .0895348    -0.38   0.710    -.2274663    .1593901
                              |
c.dpgChange#c.ws_cab_rescaled |  -.0166397   .0099025    -1.68   0.117    -.0380329    .0047534
                              |
                    portfolio |
                           2  |    .075164   .1648311     0.46   0.656     -.280932      .43126
                           3  |    .470427   .1856792     2.53   0.025     .0692916    .8715624
                           4  |  -.0147576   .1728575    -0.09   0.933    -.3881936    .3586784
                           5  |   .2145345   .2370776     0.90   0.382    -.2976405    .7267096
                           6  |  -.1582532   .2445581    -0.65   0.529    -.6865887    .3700824
                           7  |  -.0355689   .1574129    -0.23   0.825    -.3756388    .3045011
                           8  |   .0945318   .1844197     0.51   0.617    -.3038828    .4929464
                           9  |   .0643049   .2158222     0.30   0.770    -.4019507    .5305605
                          10  |   .0231394   .4619522     0.05   0.961    -.9748477    1.021127
                          11  |   .0064368   .1496726     0.04   0.966    -.3169112    .3297847
                          12  |   .0259259   .1755863     0.15   0.885    -.3534053     .405257
                          13  |   .7607489   .7303882     1.04   0.317     -.817159    2.338657
                          14  |   .3227429   .2596852     1.24   0.236    -.2382728    .8837586
                              |
                        _cons |  -.0455503   .1703244    -0.27   0.793    -.4135139    .3224133
-----------------------------------------------------------------------------------------------

. estimates store debt_current

. 
. 
. /* conditional on unemployment */    
. reg change_capital_share junior same_party c.urChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1741
                                                       Root MSE      =  .31103

                                           (Std. Err. adjusted for 14 clusters in budget_year)
----------------------------------------------------------------------------------------------
                             |               Robust
        change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
                      junior |  -.0102207    .027012    -0.38   0.711    -.0685765    .0481352
                  same_party |     .00378   .0577981     0.07   0.949    -.1210851    .1286452
                    urChange |  -.0765932   .0381318    -2.01   0.066    -.1589719    .0057855
             ws_cab_rescaled |  -.1291001   .0802743    -1.61   0.132    -.3025223     .044322
                             |
c.urChange#c.ws_cab_rescaled |   .0934415   .0448839     2.08   0.058    -.0035243    .1904072
                             |
                   portfolio |
                          2  |    .014561   .0753461     0.19   0.850    -.1482144    .1773364
                          3  |   .1191055   .0621463     1.92   0.078    -.0151535    .2533645
                          4  |   .0935676   .0585888     1.60   0.134    -.0330057     .220141
                          5  |   .0559497   .0762833     0.73   0.476    -.1088503    .2207497
                          6  |   .0402044    .076093     0.53   0.606    -.1241846    .2045935
                          7  |  -.1851275   .3067684    -0.60   0.557    -.8478604    .4776053
                          8  |   .0882934   .0659593     1.34   0.204    -.0542031    .2307899
                          9  |   .0366553   .0558865     0.66   0.523    -.0840801    .1573906
                         10  |  -.0496155   .1283419    -0.39   0.705    -.3268815    .2276504
                         11  |   .0097034    .068042     0.14   0.889    -.1372924    .1566993
                         12  |   .0714722    .071445     1.00   0.335    -.0828754    .2258198
                         13  |   .0103814   .0461584     0.22   0.826    -.0893378    .1101006
                         14  |   -.213207    .230817    -0.92   0.372    -.7118568    .2854429
                             |
                       _cons |  -.0394321   .0918462    -0.43   0.675    -.2378537    .1589894
----------------------------------------------------------------------------------------------

. estimates store ur_capital

. 
. reg change_current_share junior same_party c.urChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1219
                                                       Root MSE      =  .65629

                                           (Std. Err. adjusted for 14 clusters in budget_year)
----------------------------------------------------------------------------------------------
                             |               Robust
        change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
                      junior |   .0124822   .0496921     0.25   0.806    -.0948711    .1198355
                  same_party |  -.0922532   .0631796    -1.46   0.168    -.2287444     .044238
                    urChange |   .0594457    .024954     2.38   0.033     .0055358    .1133556
             ws_cab_rescaled |  -.1337689   .1098811    -1.22   0.245    -.3711527    .1036149
                             |
c.urChange#c.ws_cab_rescaled |  -.0396319    .087876    -0.45   0.659    -.2294765    .1502127
                             |
                   portfolio |
                          2  |   .0932264    .150126     0.62   0.545     -.231101    .4175538
                          3  |    .483198   .1451426     3.33   0.005     .1696366    .7967594
                          4  |   .0184164   .1616142     0.11   0.911    -.3307298    .3675626
                          5  |   .2174139   .2402052     0.91   0.382    -.3015179    .7363457
                          6  |  -.1554534   .2246276    -0.69   0.501    -.6407319     .329825
                          7  |  -.0659974   .1518605    -0.43   0.671     -.394072    .2620772
                          8  |   .1042745    .167628     0.62   0.545    -.2578637    .4664127
                          9  |   .0453533   .2019046     0.22   0.826     -.390835    .4815416
                         10  |   .0238389   .4496656     0.05   0.959    -.9476046    .9952823
                         11  |   -.014034   .1421248    -0.10   0.923     -.321076    .2930079
                         12  |   .0142201   .1704616     0.08   0.935    -.3540398    .3824799
                         13  |   .7346054   .7203767     1.02   0.326    -.8216739    2.290885
                         14  |   .3671811   .3084424     1.19   0.255    -.2991683     1.03353
                             |
                       _cons |  -.0251681   .1577656    -0.16   0.876    -.3659999    .3156637
----------------------------------------------------------------------------------------------

. estimates store ur_current

. 
. 
. /* conditional on PM */    
. reg change_capital_share junior same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1809
                                                       Root MSE      =  .31211

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0017722   .0369215    -0.05   0.962    -.0815362    .0779918
          same_party |   .0212227   .0652982     0.33   0.750    -.1198454    .1622908
                     |
                  pm |
                  2  |  -.2061737   .0604736    -3.41   0.005    -.3368191   -.0755284
                  3  |  -.1296783   .0492044    -2.64   0.021     -.235978   -.0233786
                     |
     ws_cab_rescaled |  -.2132031   .0794817    -2.68   0.019    -.3849128   -.0414934
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2727263   .1018079     2.68   0.019     .0527838    .4926688
                  3  |   .3248338   .0955501     3.40   0.005     .1184103    .5312573
                     |
           portfolio |
                  2  |   .0042647   .0683954     0.06   0.951    -.1434946     .152024
                  3  |   .0596531   .0609574     0.98   0.346    -.0720374    .1913437
                  4  |   .0827645   .0559882     1.48   0.163    -.0381907    .2037196
                  5  |    .022406   .0640486     0.35   0.732    -.1159626    .1607746
                  6  |   .0016733   .0747138     0.02   0.982     -.159736    .1630826
                  7  |  -.2476437   .2910642    -0.85   0.410    -.8764496    .3811623
                  8  |   .0490661   .0600475     0.82   0.429    -.0806587    .1787909
                  9  |    -.00797   .0516913    -0.15   0.880    -.1196423    .1037023
                 10  |  -.0926469   .1156625    -0.80   0.438    -.3425205    .1572268
                 11  |   .0009868   .0570053     0.02   0.986    -.1221657    .1241392
                 12  |   .0463188   .0706985     0.66   0.524     -.106416    .1990537
                 13  |  -.0313539   .0474115    -0.66   0.520    -.1337803    .0710724
                 14  |  -.2346474   .2139531    -1.10   0.293     -.696865    .2275701
                     |
               _cons |   .0182609   .0801819     0.23   0.823    -.1549614    .1914833
--------------------------------------------------------------------------------------

. estimates store pm_capital

. 
. reg change_current_share junior same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1319
                                                       Root MSE      =  .65755

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0228637   .0651092     0.35   0.731    -.1177962    .1635235
          same_party |  -.1232675   .0730019    -1.69   0.115    -.2809786    .0344435
                     |
                  pm |
                  2  |   .1217034   .0655419     1.86   0.086    -.0198912     .263298
                  3  |   .1926641   .0943186     2.04   0.062    -.0110988     .396427
                     |
     ws_cab_rescaled |  -.0037345   .1081986    -0.03   0.973    -.2374833    .2300144
                     |
pm#c.ws_cab_rescaled |
                  2  |  -.1946366   .4003621    -0.49   0.635    -1.059566    .6702931
                  3  |  -.6211307   .2598514    -2.39   0.033    -1.182505   -.0597559
                     |
           portfolio |
                  2  |   .1065688   .1848521     0.58   0.574    -.2927798    .5059175
                  3  |   .5647429   .1670986     3.38   0.005     .2037483    .9257374
                  4  |   .0078011   .1791173     0.04   0.966    -.3791583    .3947605
                  5  |   .2593127   .2460595     1.05   0.311    -.2722664    .7908918
                  6  |  -.1153705   .2422389    -0.48   0.642    -.6386958    .4079547
                  7  |   .0029555   .1756556     0.02   0.987    -.3765253    .3824363
                  8  |   .1317744   .1890027     0.70   0.498    -.2765411    .5400899
                  9  |   .0993973   .2304005     0.43   0.673    -.3983527    .5971473
                 10  |   .0789216   .4754568     0.17   0.871    -.9482404    1.106084
                 11  |    .011156    .164251     0.07   0.947    -.3436866    .3659987
                 12  |   .0439885    .195123     0.23   0.825    -.3775491    .4655261
                 13  |   .8018228   .7226882     1.11   0.287      -.75945    2.363096
                 14  |   .3612743   .2536363     1.42   0.178    -.1866735    .9092221
                     |
               _cons |  -.0748876   .1879413    -0.40   0.697      -.48091    .3311348
--------------------------------------------------------------------------------------

. estimates store pm_current

. 
. /* #delimit; */
. /* estout * using "./tables/table1-regression_output_all_models.tex", style(tex) */
. /* cells("b(star fmt(2))" "se(par fmt(2))") */
. /* stats(r2 N, labels(R-squared "N. of cases") fmt(2 0)) */
. /* starlevels(* 0.05) */
. /* label legend */
. /* varlabels(_cons Intercept) */
. /* replace; */
. /* #delimit cr */
. 
. /* PRINT TABLE 1 IN PAPER */
. #delimit;
delimiter now ;
. estout *,
> cells("b(star fmt(2))" "se(par fmt(2))")
> stats(r2 N, labels(R-squared "N. of cases") fmt(2 0))
> starlevels(* 0.05)
> label legend
> varlabels(_cons Intercept)
> replace;

--------------------------------------------------------------------------------------------------------
                     debt_capital  debt_current    ur_capital    ur_current    pm_capital    pm_current 
                             b/se          b/se          b/se          b/se          b/se          b/se 
--------------------------------------------------------------------------------------------------------
Junior minister              0.00          0.01         -0.01          0.01         -0.00          0.02 
                           (0.03)        (0.05)        (0.03)        (0.05)        (0.04)        (0.07) 
Same party                  -0.00         -0.09          0.00         -0.09          0.02         -0.12 
                           (0.06)        (0.06)        (0.06)        (0.06)        (0.07)        (0.07) 
Change in debt              -0.01*         0.01*                                                        
                           (0.00)        (0.00)                                                         
Intra-cabinet posi~n        -0.18*        -0.03         -0.13         -0.13         -0.21*        -0.00 
                           (0.07)        (0.09)        (0.08)        (0.11)        (0.08)        (0.11) 
Change in debt # I~p         0.01*        -0.02                                                         
                           (0.00)        (0.01)                                                         
Agriculture                  0.00          0.00          0.00          0.00          0.00          0.00 
                              (.)           (.)           (.)           (.)           (.)           (.) 
Arts                         0.03          0.08          0.01          0.09          0.00          0.11 
                           (0.08)        (0.16)        (0.08)        (0.15)        (0.07)        (0.18) 
Children                     0.15*         0.47*         0.12          0.48*         0.06          0.56*
                           (0.06)        (0.19)        (0.06)        (0.15)        (0.06)        (0.17) 
Defence                      0.11         -0.01          0.09          0.02          0.08          0.01 
                           (0.06)        (0.17)        (0.06)        (0.16)        (0.06)        (0.18) 
Education                    0.05          0.21          0.06          0.22          0.02          0.26 
                           (0.07)        (0.24)        (0.08)        (0.24)        (0.06)        (0.25) 
Enterprise                   0.03         -0.16          0.04         -0.16          0.00         -0.12 
                           (0.08)        (0.24)        (0.08)        (0.22)        (0.07)        (0.24) 
Environment                 -0.23         -0.04         -0.19         -0.07         -0.25          0.00 
                           (0.29)        (0.16)        (0.31)        (0.15)        (0.29)        (0.18) 
Foreign                      0.10          0.09          0.09          0.10          0.05          0.13 
                           (0.07)        (0.18)        (0.07)        (0.17)        (0.06)        (0.19) 
Gaeltacht                    0.02          0.06          0.04          0.05         -0.01          0.10 
                           (0.05)        (0.22)        (0.06)        (0.20)        (0.05)        (0.23) 
Health                      -0.07          0.02         -0.05          0.02         -0.09          0.08 
                           (0.13)        (0.46)        (0.13)        (0.45)        (0.12)        (0.48) 
Justice                     -0.00          0.01          0.01         -0.01          0.00          0.01 
                           (0.06)        (0.15)        (0.07)        (0.14)        (0.06)        (0.16) 
Resources                    0.07          0.03          0.07          0.01          0.05          0.04 
                           (0.08)        (0.18)        (0.07)        (0.17)        (0.07)        (0.20) 
Social                      -0.02          0.76          0.01          0.73         -0.03          0.80 
                           (0.04)        (0.73)        (0.05)        (0.72)        (0.05)        (0.72) 
Transport                   -0.17          0.32         -0.21          0.37         -0.23          0.36 
                           (0.21)        (0.26)        (0.23)        (0.31)        (0.21)        (0.25) 
Change in unemploy~e                                    -0.08          0.06*                            
                                                       (0.04)        (0.02)                             
Change in unemploy~n                                     0.09         -0.04                             
                                                       (0.04)        (0.09)                             
Ahern                                                                                0.00          0.00 
                                                                                      (.)           (.) 
Cowen                                                                               -0.21*         0.12 
                                                                                   (0.06)        (0.07) 
Kenny                                                                               -0.13*         0.19 
                                                                                   (0.05)        (0.09) 
Ahern # Intra-cabi~n                                                                 0.00          0.00 
                                                                                      (.)           (.) 
Cowen # Intra-cabi~n                                                                 0.27*        -0.19 
                                                                                   (0.10)        (0.40) 
Kenny # Intra-cabi~n                                                                 0.32*        -0.62*
                                                                                   (0.10)        (0.26) 
Intercept                   -0.01         -0.05         -0.04         -0.03          0.02         -0.07 
                           (0.09)        (0.17)        (0.09)        (0.16)        (0.08)        (0.19) 
--------------------------------------------------------------------------------------------------------
R-squared                    0.19          0.14          0.17          0.12          0.18          0.13 
N. of cases                   151           151           151           151           151           151 
--------------------------------------------------------------------------------------------------------
* p<0.05

. #delimit cr
delimiter now cr
. 
. 
. /* REGRESSION MODEL CONDITIONAL ON CHANGES IN DEBT */
. gen change = dpgChange
(17 missing values generated)

.     
. reg change_capital_share junior same_party c.change##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1919
                                                       Root MSE      =  .30765

                                         (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------------
                           |               Robust
      change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
                    junior |   .0014478   .0325392     0.04   0.965    -.0688488    .0717445
                same_party |  -.0004944   .0585264    -0.01   0.993     -.126933    .1259442
                    change |  -.0082171   .0029545    -2.78   0.016    -.0145999   -.0018342
           ws_cab_rescaled |  -.1804771   .0712173    -2.53   0.025    -.3343328   -.0266214
                           |
c.change#c.ws_cab_rescaled |   .0118658   .0042567     2.79   0.015     .0026697    .0210619
                           |
                 portfolio |
                        2  |    .030527   .0778882     0.39   0.701    -.1377402    .1987942
                        3  |    .145362    .061593     2.36   0.035     .0122984    .2784255
                        4  |   .1081107   .0603787     1.79   0.097    -.0223296     .238551
                        5  |   .0492531   .0720513     0.68   0.506    -.1064042    .2049104
                        6  |   .0283426   .0760058     0.37   0.715     -.135858    .1925431
                        7  |  -.2296173   .2943563    -0.78   0.449    -.8655354    .4063008
                        8  |   .0964297    .068339     1.41   0.182    -.0512077    .2440671
                        9  |   .0150836   .0519494     0.29   0.776    -.0971463    .1273136
                       10  |  -.0673557   .1252479    -0.54   0.600    -.3379374     .203226
                       11  |  -.0020413   .0632452    -0.03   0.975    -.1386742    .1345917
                       12  |   .0728287   .0771706     0.94   0.363    -.0938882    .2395456
                       13  |  -.0154492   .0449165    -0.34   0.736    -.1124854    .0815871
                       14  |  -.1744066   .2128168    -0.82   0.427    -.6341693    .2853562
                           |
                     _cons |  -.0132357   .0911901    -0.15   0.887    -.2102399    .1837684
--------------------------------------------------------------------------------------------

. 
. 
. margins, dydx(change) at(ws_cab_rescaled=(-1(.1)1)) vsquish

Average marginal effects                          Number of obs   =        151
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : change
1._at        : ws_cab_res~d    =          -1
2._at        : ws_cab_res~d    =         -.9
3._at        : ws_cab_res~d    =         -.8
4._at        : ws_cab_res~d    =         -.7
5._at        : ws_cab_res~d    =         -.6
6._at        : ws_cab_res~d    =         -.5
7._at        : ws_cab_res~d    =         -.4
8._at        : ws_cab_res~d    =         -.3
9._at        : ws_cab_res~d    =         -.2
10._at       : ws_cab_res~d    =         -.1
11._at       : ws_cab_res~d    =           0
12._at       : ws_cab_res~d    =          .1
13._at       : ws_cab_res~d    =          .2
14._at       : ws_cab_res~d    =          .3
15._at       : ws_cab_res~d    =          .4
16._at       : ws_cab_res~d    =          .5
17._at       : ws_cab_res~d    =          .6
18._at       : ws_cab_res~d    =          .7
19._at       : ws_cab_res~d    =          .8
20._at       : ws_cab_res~d    =          .9
21._at       : ws_cab_res~d    =           1

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
change       |
         _at |
          1  |  -.0200829   .0068292    -2.94   0.003    -.0334679   -.0066978
          2  |  -.0188963     .00642    -2.94   0.003    -.0314793   -.0063133
          3  |  -.0177097   .0060131    -2.95   0.003    -.0294951   -.0059243
          4  |  -.0165231   .0056089    -2.95   0.003    -.0275165   -.0055298
          5  |  -.0153365   .0052082    -2.94   0.003    -.0255445   -.0051286
          6  |    -.01415   .0048118    -2.94   0.003     -.023581   -.0047189
          7  |  -.0129634   .0044209    -2.93   0.003    -.0216281   -.0042986
          8  |  -.0117768   .0040369    -2.92   0.004     -.019689   -.0038646
          9  |  -.0105902   .0036622    -2.89   0.004     -.017768   -.0034124
         10  |  -.0094036   .0032999    -2.85   0.004    -.0158713    -.002936
         11  |  -.0082171   .0029545    -2.78   0.005    -.0140078   -.0024263
         12  |  -.0070305   .0026328    -2.67   0.008    -.0121906   -.0018704
         13  |  -.0058439   .0023444    -2.49   0.013    -.0104388    -.001249
         14  |  -.0046573   .0021031    -2.21   0.027    -.0087794   -.0005352
         15  |  -.0034707   .0019268    -1.80   0.072    -.0072472    .0003058
         16  |  -.0022842   .0018343    -1.25   0.213    -.0058792    .0013109
         17  |  -.0010976   .0018381    -0.60   0.550    -.0047002    .0025051
         18  |    .000089   .0019379     0.05   0.963    -.0037092    .0038872
         19  |   .0012756     .00212     0.60   0.547    -.0028796    .0054307
         20  |   .0024622   .0023656     1.04   0.298    -.0021742    .0070986
         21  |   .0036487    .002657     1.37   0.170    -.0015589    .0088564
------------------------------------------------------------------------------

. margins, at(ws_cab_rescaled=(-1(.1)1) change=(-12 -6 0 6 12 18 24) ) vsquish

Predictive margins                                Number of obs   =        151
Model VCE    : Robust

Expression   : Linear prediction, predict()
1._at        : change          =         -12
               ws_cab_res~d    =          -1
2._at        : change          =         -12
               ws_cab_res~d    =         -.9
3._at        : change          =         -12
               ws_cab_res~d    =         -.8
4._at        : change          =         -12
               ws_cab_res~d    =         -.7
5._at        : change          =         -12
               ws_cab_res~d    =         -.6
6._at        : change          =         -12
               ws_cab_res~d    =         -.5
7._at        : change          =         -12
               ws_cab_res~d    =         -.4
8._at        : change          =         -12
               ws_cab_res~d    =         -.3
9._at        : change          =         -12
               ws_cab_res~d    =         -.2
10._at       : change          =         -12
               ws_cab_res~d    =         -.1
11._at       : change          =         -12
               ws_cab_res~d    =           0
12._at       : change          =         -12
               ws_cab_res~d    =          .1
13._at       : change          =         -12
               ws_cab_res~d    =          .2
14._at       : change          =         -12
               ws_cab_res~d    =          .3
15._at       : change          =         -12
               ws_cab_res~d    =          .4
16._at       : change          =         -12
               ws_cab_res~d    =          .5
17._at       : change          =         -12
               ws_cab_res~d    =          .6
18._at       : change          =         -12
               ws_cab_res~d    =          .7
19._at       : change          =         -12
               ws_cab_res~d    =          .8
20._at       : change          =         -12
               ws_cab_res~d    =          .9
21._at       : change          =         -12
               ws_cab_res~d    =           1
22._at       : change          =          -6
               ws_cab_res~d    =          -1
23._at       : change          =          -6
               ws_cab_res~d    =         -.9
24._at       : change          =          -6
               ws_cab_res~d    =         -.8
25._at       : change          =          -6
               ws_cab_res~d    =         -.7
26._at       : change          =          -6
               ws_cab_res~d    =         -.6
27._at       : change          =          -6
               ws_cab_res~d    =         -.5
28._at       : change          =          -6
               ws_cab_res~d    =         -.4
29._at       : change          =          -6
               ws_cab_res~d    =         -.3
30._at       : change          =          -6
               ws_cab_res~d    =         -.2
31._at       : change          =          -6
               ws_cab_res~d    =         -.1
32._at       : change          =          -6
               ws_cab_res~d    =           0
33._at       : change          =          -6
               ws_cab_res~d    =          .1
34._at       : change          =          -6
               ws_cab_res~d    =          .2
35._at       : change          =          -6
               ws_cab_res~d    =          .3
36._at       : change          =          -6
               ws_cab_res~d    =          .4
37._at       : change          =          -6
               ws_cab_res~d    =          .5
38._at       : change          =          -6
               ws_cab_res~d    =          .6
39._at       : change          =          -6
               ws_cab_res~d    =          .7
40._at       : change          =          -6
               ws_cab_res~d    =          .8
41._at       : change          =          -6
               ws_cab_res~d    =          .9
42._at       : change          =          -6
               ws_cab_res~d    =           1
43._at       : change          =           0
               ws_cab_res~d    =          -1
44._at       : change          =           0
               ws_cab_res~d    =         -.9
45._at       : change          =           0
               ws_cab_res~d    =         -.8
46._at       : change          =           0
               ws_cab_res~d    =         -.7
47._at       : change          =           0
               ws_cab_res~d    =         -.6
48._at       : change          =           0
               ws_cab_res~d    =         -.5
49._at       : change          =           0
               ws_cab_res~d    =         -.4
50._at       : change          =           0
               ws_cab_res~d    =         -.3
51._at       : change          =           0
               ws_cab_res~d    =         -.2
52._at       : change          =           0
               ws_cab_res~d    =         -.1
53._at       : change          =           0
               ws_cab_res~d    =           0
54._at       : change          =           0
               ws_cab_res~d    =          .1
55._at       : change          =           0
               ws_cab_res~d    =          .2
56._at       : change          =           0
               ws_cab_res~d    =          .3
57._at       : change          =           0
               ws_cab_res~d    =          .4
58._at       : change          =           0
               ws_cab_res~d    =          .5
59._at       : change          =           0
               ws_cab_res~d    =          .6
60._at       : change          =           0
               ws_cab_res~d    =          .7
61._at       : change          =           0
               ws_cab_res~d    =          .8
62._at       : change          =           0
               ws_cab_res~d    =          .9
63._at       : change          =           0
               ws_cab_res~d    =           1
64._at       : change          =           6
               ws_cab_res~d    =          -1
65._at       : change          =           6
               ws_cab_res~d    =         -.9
66._at       : change          =           6
               ws_cab_res~d    =         -.8
67._at       : change          =           6
               ws_cab_res~d    =         -.7
68._at       : change          =           6
               ws_cab_res~d    =         -.6
69._at       : change          =           6
               ws_cab_res~d    =         -.5
70._at       : change          =           6
               ws_cab_res~d    =         -.4
71._at       : change          =           6
               ws_cab_res~d    =         -.3
72._at       : change          =           6
               ws_cab_res~d    =         -.2
73._at       : change          =           6
               ws_cab_res~d    =         -.1
74._at       : change          =           6
               ws_cab_res~d    =           0
75._at       : change          =           6
               ws_cab_res~d    =          .1
76._at       : change          =           6
               ws_cab_res~d    =          .2
77._at       : change          =           6
               ws_cab_res~d    =          .3
78._at       : change          =           6
               ws_cab_res~d    =          .4
79._at       : change          =           6
               ws_cab_res~d    =          .5
80._at       : change          =           6
               ws_cab_res~d    =          .6
81._at       : change          =           6
               ws_cab_res~d    =          .7
82._at       : change          =           6
               ws_cab_res~d    =          .8
83._at       : change          =           6
               ws_cab_res~d    =          .9
84._at       : change          =           6
               ws_cab_res~d    =           1
85._at       : change          =          12
               ws_cab_res~d    =          -1
86._at       : change          =          12
               ws_cab_res~d    =         -.9
87._at       : change          =          12
               ws_cab_res~d    =         -.8
88._at       : change          =          12
               ws_cab_res~d    =         -.7
89._at       : change          =          12
               ws_cab_res~d    =         -.6
90._at       : change          =          12
               ws_cab_res~d    =         -.5
91._at       : change          =          12
               ws_cab_res~d    =         -.4
92._at       : change          =          12
               ws_cab_res~d    =         -.3
93._at       : change          =          12
               ws_cab_res~d    =         -.2
94._at       : change          =          12
               ws_cab_res~d    =         -.1
95._at       : change          =          12
               ws_cab_res~d    =           0
96._at       : change          =          12
               ws_cab_res~d    =          .1
97._at       : change          =          12
               ws_cab_res~d    =          .2
98._at       : change          =          12
               ws_cab_res~d    =          .3
99._at       : change          =          12
               ws_cab_res~d    =          .4
100._at      : change          =          12
               ws_cab_res~d    =          .5
101._at      : change          =          12
               ws_cab_res~d    =          .6
102._at      : change          =          12
               ws_cab_res~d    =          .7
103._at      : change          =          12
               ws_cab_res~d    =          .8
104._at      : change          =          12
               ws_cab_res~d    =          .9
105._at      : change          =          12
               ws_cab_res~d    =           1
106._at      : change          =          18
               ws_cab_res~d    =          -1
107._at      : change          =          18
               ws_cab_res~d    =         -.9
108._at      : change          =          18
               ws_cab_res~d    =         -.8
109._at      : change          =          18
               ws_cab_res~d    =         -.7
110._at      : change          =          18
               ws_cab_res~d    =         -.6
111._at      : change          =          18
               ws_cab_res~d    =         -.5
112._at      : change          =          18
               ws_cab_res~d    =         -.4
113._at      : change          =          18
               ws_cab_res~d    =         -.3
114._at      : change          =          18
               ws_cab_res~d    =         -.2
115._at      : change          =          18
               ws_cab_res~d    =         -.1
116._at      : change          =          18
               ws_cab_res~d    =           0
117._at      : change          =          18
               ws_cab_res~d    =          .1
118._at      : change          =          18
               ws_cab_res~d    =          .2
119._at      : change          =          18
               ws_cab_res~d    =          .3
120._at      : change          =          18
               ws_cab_res~d    =          .4
121._at      : change          =          18
               ws_cab_res~d    =          .5
122._at      : change          =          18
               ws_cab_res~d    =          .6
123._at      : change          =          18
               ws_cab_res~d    =          .7
124._at      : change          =          18
               ws_cab_res~d    =          .8
125._at      : change          =          18
               ws_cab_res~d    =          .9
126._at      : change          =          18
               ws_cab_res~d    =           1
127._at      : change          =          24
               ws_cab_res~d    =          -1
128._at      : change          =          24
               ws_cab_res~d    =         -.9
129._at      : change          =          24
               ws_cab_res~d    =         -.8
130._at      : change          =          24
               ws_cab_res~d    =         -.7
131._at      : change          =          24
               ws_cab_res~d    =         -.6
132._at      : change          =          24
               ws_cab_res~d    =         -.5
133._at      : change          =          24
               ws_cab_res~d    =         -.4
134._at      : change          =          24
               ws_cab_res~d    =         -.3
135._at      : change          =          24
               ws_cab_res~d    =         -.2
136._at      : change          =          24
               ws_cab_res~d    =         -.1
137._at      : change          =          24
               ws_cab_res~d    =           0
138._at      : change          =          24
               ws_cab_res~d    =          .1
139._at      : change          =          24
               ws_cab_res~d    =          .2
140._at      : change          =          24
               ws_cab_res~d    =          .3
141._at      : change          =          24
               ws_cab_res~d    =          .4
142._at      : change          =          24
               ws_cab_res~d    =          .5
143._at      : change          =          24
               ws_cab_res~d    =          .6
144._at      : change          =          24
               ws_cab_res~d    =          .7
145._at      : change          =          24
               ws_cab_res~d    =          .8
146._at      : change          =          24
               ws_cab_res~d    =          .9
147._at      : change          =          24
               ws_cab_res~d    =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .3956876   .1505222     2.63   0.009     .1006694    .6907057
          2  |   .3634009   .1418508     2.56   0.010     .0853784    .6414233
          3  |   .3311142   .1333282     2.48   0.013     .0697957    .5924328
          4  |   .2988275    .124985     2.39   0.017     .0538614    .5437937
          5  |   .2665409   .1168596     2.28   0.023     .0375003    .4955814
          6  |   .2342542   .1090006     2.15   0.032     .0206169    .4478915
          7  |   .2019675   .1014701     1.99   0.047     .0030899    .4008452
          8  |   .1696808   .0943466     1.80   0.072    -.0152351    .3545968
          9  |   .1373942   .0877295     1.57   0.117    -.0345524    .3093407
         10  |   .1051075   .0817417     1.29   0.198    -.0551033    .2653182
         11  |   .0728208   .0765311     0.95   0.341    -.0771775    .2228191
         12  |   .0405341   .0722661     0.56   0.575    -.1011049    .1821732
         13  |   .0082475   .0691219     0.12   0.905    -.1272291     .143724
         14  |  -.0240392   .0672559    -0.36   0.721    -.1558584      .10778
         15  |  -.0563259   .0667753    -0.84   0.399    -.1872031    .0745513
         16  |  -.0886126   .0677096    -1.31   0.191     -.221321    .0440959
         17  |  -.1208992   .0700023    -1.73   0.084    -.2581011    .0163027
         18  |  -.1531859   .0735262    -2.08   0.037    -.2972946   -.0090772
         19  |  -.1854726    .078115    -2.37   0.018    -.3385753   -.0323699
         20  |  -.2177593   .0835936    -2.60   0.009    -.3815996   -.0539189
         21  |  -.2500459   .0897991    -2.78   0.005    -.4260489    -.074043
         22  |   .2751905   .1157536     2.38   0.017     .0483175    .5020634
         23  |   .2500233   .1086909     2.30   0.021     .0369931    .4630535
         24  |   .2248561   .1017901     2.21   0.027     .0253512     .424361
         25  |   .1996889   .0950865     2.10   0.036     .0133228     .386055
         26  |   .1745217   .0886249     1.97   0.049     .0008201    .3482232
         27  |   .1493545   .0824621     1.81   0.070    -.0122683    .3109772
         28  |   .1241873   .0766703     1.62   0.105    -.0260838    .2744584
         29  |   .0990201   .0713399     1.39   0.165    -.0408036    .2388438
         30  |   .0738529   .0665818     1.11   0.267    -.0566451    .2043509
         31  |   .0486857   .0625268     0.78   0.436    -.0738646     .171236
         32  |   .0235185   .0593192     0.40   0.692     -.092745     .139782
         33  |  -.0016487    .057102    -0.03   0.977    -.1135666    .1102692
         34  |  -.0268159   .0559931    -0.48   0.632    -.1365603    .0829285
         35  |  -.0519831   .0560581    -0.93   0.354    -.1618549    .0578888
         36  |  -.0771503   .0572931    -1.35   0.178    -.1894428    .0351422
         37  |  -.1023175   .0596255    -1.72   0.086    -.2191814    .0145465
         38  |  -.1274847   .0629334    -2.03   0.043    -.2508319   -.0041375
         39  |  -.1526519   .0670726    -2.28   0.023    -.2841117    -.021192
         40  |  -.1778191   .0718996    -2.47   0.013    -.3187397   -.0368985
         41  |  -.2029862   .0772857    -2.63   0.009    -.3544634   -.0515091
         42  |  -.2281534   .0831223    -2.74   0.006    -.3910701   -.0652368
         43  |   .1546933   .0865956     1.79   0.074     -.015031    .3244177
         44  |   .1366456   .0804572     1.70   0.089    -.0210475    .2943388
         45  |   .1185979   .0744939     1.59   0.111    -.0274075    .2646033
         46  |   .1005502   .0687515     1.46   0.144    -.0342002    .2353007
         47  |   .0825025   .0632901     1.30   0.192    -.0415438    .2065487
         48  |   .0644548   .0581888     1.11   0.268    -.0495931    .1785027
         49  |   .0464071   .0535507     0.87   0.386    -.0585503    .1513645
         50  |   .0283593   .0495061     0.57   0.567    -.0686708    .1253895
         51  |   .0103116   .0462112     0.22   0.823    -.0802606    .1008838
         52  |  -.0077361   .0438352    -0.18   0.860    -.0936515    .0781794
         53  |  -.0257838   .0425326    -0.61   0.544    -.1091461    .0575785
         54  |  -.0438315   .0424023    -1.03   0.301    -.1269384    .0392754
         55  |  -.0618792   .0434548    -1.42   0.154    -.1470491    .0232906
         56  |  -.0799269   .0456084    -1.75   0.080    -.1693178    .0094639
         57  |  -.0979747   .0487173    -2.01   0.044    -.1934588   -.0024905
         58  |  -.1160224   .0526124    -2.21   0.027    -.2191407   -.0129041
         59  |  -.1340701    .057133    -2.35   0.019    -.2460488   -.0220914
         60  |  -.1521178   .0621429    -2.45   0.014    -.2739157   -.0303199
         61  |  -.1701655   .0675333    -2.52   0.012    -.3025283   -.0378028
         62  |  -.1882132   .0732201    -2.57   0.010    -.3317219   -.0447045
         63  |  -.2062609   .0791395    -2.61   0.009    -.3613714   -.0511505
         64  |   .0341962   .0704035     0.49   0.627    -.1037921    .1721846
         65  |    .023268   .0640358     0.36   0.716    -.1022399    .1487759
         66  |   .0123398   .0577995     0.21   0.831    -.1009452    .1256247
         67  |   .0014115    .051742     0.03   0.978     -.100001    .1028241
         68  |  -.0095167   .0459343    -0.21   0.836    -.0995462    .0805128
         69  |  -.0204449   .0404838    -0.51   0.614    -.0997917    .0589018
         70  |  -.0313732   .0355553    -0.88   0.378    -.1010603     .038314
         71  |  -.0423014   .0313956    -1.35   0.178    -.1038357    .0192329
         72  |  -.0532296   .0283452    -1.88   0.060    -.1087852     .002326
         73  |  -.0641579   .0267858    -2.40   0.017    -.1166571   -.0116586
         74  |  -.0750861   .0269772    -2.78   0.005    -.1279605   -.0222117
         75  |  -.0860143   .0288847    -2.98   0.003    -.1426272   -.0294015
         76  |  -.0969426   .0322046    -3.01   0.003    -.1600625   -.0338227
         77  |  -.1078708   .0365543    -2.95   0.003    -.1795159   -.0362257
         78  |   -.118799    .041612    -2.85   0.004     -.200357   -.0372411
         79  |  -.1297273   .0471504    -2.75   0.006    -.2221403   -.0373143
         80  |  -.1406555    .053019    -2.65   0.008    -.2445709   -.0367401
         81  |  -.1515837   .0591197    -2.56   0.010    -.2674563   -.0357112
         82  |   -.162512   .0653876    -2.49   0.013    -.2906692   -.0343547
         83  |  -.1734402   .0717787    -2.42   0.016    -.3141239   -.0327566
         84  |  -.1843684    .078263    -2.36   0.018    -.3377611   -.0309758
         85  |  -.0863009   .0759767    -1.14   0.256    -.2352125    .0626107
         86  |  -.0901096   .0685231    -1.32   0.189    -.2244124    .0441931
         87  |  -.0939184   .0611191    -1.54   0.124    -.2137096    .0258728
         88  |  -.0977271   .0537852    -1.82   0.069    -.2031443      .00769
         89  |  -.1015359   .0465547    -2.18   0.029    -.1927814   -.0102903
         90  |  -.1053446   .0394843    -2.67   0.008    -.1827324   -.0279569
         91  |  -.1091534    .032678    -3.34   0.001    -.1732011   -.0451056
         92  |  -.1129621   .0263415    -4.29   0.000    -.1645906   -.0613337
         93  |  -.1167709   .0209064    -5.59   0.000    -.1577468    -.075795
         94  |  -.1205797    .017247    -6.99   0.000    -.1543832   -.0867761
         95  |  -.1243884   .0165837    -7.50   0.000    -.1568919   -.0918849
         96  |  -.1281972   .0192291    -6.67   0.000    -.1658855   -.0905088
         97  |  -.1320059   .0241179    -5.47   0.000    -.1792762   -.0847357
         98  |  -.1358147    .030179    -4.50   0.000    -.1949643    -.076665
         99  |  -.1396234   .0368381    -3.79   0.000    -.2118247   -.0674222
        100  |  -.1434322   .0438234    -3.27   0.001    -.2293246   -.0575398
        101  |  -.1472409   .0510012    -2.89   0.004    -.2472015   -.0472804
        102  |  -.1510497   .0583004    -2.59   0.010    -.2653163    -.036783
        103  |  -.1548584   .0656805    -2.36   0.018    -.2835898   -.0261271
        104  |  -.1586672   .0731169    -2.17   0.030    -.3019738   -.0153606
        105  |  -.1624759   .0805942    -2.02   0.044    -.3204378   -.0045141
        106  |   -.206798   .0997307    -2.07   0.038    -.4022665   -.0113294
        107  |  -.2034873   .0908726    -2.24   0.025    -.3815942   -.0253803
        108  |  -.2001765   .0820587    -2.44   0.015    -.3610085   -.0393445
        109  |  -.1968658   .0733049    -2.69   0.007    -.3405408   -.0531908
        110  |  -.1935551   .0646358    -2.99   0.003    -.3202389   -.0668713
        111  |  -.1902443   .0560905    -3.39   0.001    -.3001797    -.080309
        112  |  -.1869336   .0477357    -3.92   0.000    -.2804938   -.0933734
        113  |  -.1836229   .0396917    -4.63   0.000    -.2614172   -.1058286
        114  |  -.1803122   .0321925    -5.60   0.000    -.2434083    -.117216
        115  |  -.1770014    .025719    -6.88   0.000    -.2274098   -.1265931
        116  |  -.1736907   .0212313    -8.18   0.000    -.2153033   -.1320781
        117  |    -.17038   .0201061    -8.47   0.000    -.2097872   -.1309728
        118  |  -.1670693   .0228458    -7.31   0.000    -.2118461   -.1222924
        119  |  -.1637585   .0283512    -5.78   0.000    -.2193259   -.1081912
        120  |  -.1604478   .0353531    -4.54   0.000    -.2297386    -.091157
        121  |  -.1571371   .0431286    -3.64   0.000    -.2416676   -.0726066
        122  |  -.1538264   .0513274    -3.00   0.003    -.2544262   -.0532265
        123  |  -.1505156   .0597755    -2.52   0.012    -.2676735   -.0333578
        124  |  -.1472049   .0683806    -2.15   0.031    -.2812285   -.0131813
        125  |  -.1438942   .0770902    -1.87   0.062    -.2949882    .0071998
        126  |  -.1405834   .0858724    -1.64   0.102    -.3088903    .0277234
        127  |  -.3272951   .1322041    -2.48   0.013    -.5864103   -.0681799
        128  |  -.3168649   .1216052    -2.61   0.009    -.5552067   -.0785231
        129  |  -.3064347   .1110631    -2.76   0.006    -.5241144   -.0887549
        130  |  -.2960045   .1005958    -2.94   0.003    -.4931685   -.0988404
        131  |  -.2855743   .0902291    -3.16   0.002      -.46242   -.1087285
        132  |  -.2751441   .0800022    -3.44   0.001    -.4319455   -.1183426
        133  |  -.2647138   .0699765    -3.78   0.000    -.4018652   -.1275625
        134  |  -.2542836   .0602524    -4.22   0.000    -.3723762   -.1361911
        135  |  -.2438534   .0510028    -4.78   0.000     -.343817   -.1438898
        136  |  -.2334232   .0425383    -5.49   0.000    -.3167967   -.1500497
        137  |   -.222993   .0354262    -6.29   0.000    -.2924271    -.153559
        138  |  -.2125628   .0306238    -6.94   0.000    -.2725843   -.1525414
        139  |  -.2021326     .02929    -6.90   0.000    -.2595399   -.1447253
        140  |  -.1917024   .0318635    -6.02   0.000    -.2541536   -.1292512
        141  |  -.1812722   .0375493    -4.83   0.000    -.2548674    -.107677
        142  |   -.170842   .0451874    -3.78   0.000    -.2594077   -.0822763
        143  |  -.1604118    .053955    -2.97   0.003    -.2661617   -.0546618
        144  |  -.1499816   .0633852    -2.37   0.018    -.2742142   -.0257489
        145  |  -.1395514   .0732223    -1.91   0.057    -.2830644    .0039617
        146  |  -.1291212   .0833223    -1.55   0.121    -.2924299    .0341876
        147  |   -.118691   .0936003    -1.27   0.205    -.3021441    .0647622
------------------------------------------------------------------------------

. 
. #delimit ;
delimiter now ;
. marginsplot,
>   by(change)
>   xlabel(-1(0.5)1)
>   ylabel(-0.5(0.25)0.5)
>   xtitle("Intra-cabinet position", size(6))
>   ytitle("Linear prediction", size(6))
>   byopts(rows(1) title("Marginal effect of changes in debt conditional on intra-cabinet positions", size(6)) iscale(*1.5))
>   recast(line)
>   recastci(rline)
>   ciopts(lpattern(dash))
>   yline(0)
>   scheme(s1mono)
>   xsize(10);

  Variables that uniquely identify margins: ws_cab_rescaled change

. #delimit cr
delimiter now cr
. 
. graph export "./plots/figure3-predicted_effects_conditional_on_changes_in_debt.pdf", replace
(file ./plots/figure3-predicted_effects_conditional_on_changes_in_debt.pdf written in PDF format)

.    
.     
. /* REGRESSION MODEL CONDITIONAL ON CHANGES IN UNEMPLOYMENT RATE */
. replace change = urChange
(151 real changes made)

.     
. reg change_capital_share junior same_party c.change##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1741
                                                       Root MSE      =  .31103

                                         (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------------
                           |               Robust
      change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
                    junior |  -.0102207    .027012    -0.38   0.711    -.0685765    .0481352
                same_party |     .00378   .0577981     0.07   0.949    -.1210851    .1286452
                    change |  -.0765932   .0381318    -2.01   0.066    -.1589719    .0057855
           ws_cab_rescaled |  -.1291001   .0802743    -1.61   0.132    -.3025223     .044322
                           |
c.change#c.ws_cab_rescaled |   .0934415   .0448839     2.08   0.058    -.0035243    .1904072
                           |
                 portfolio |
                        2  |    .014561   .0753461     0.19   0.850    -.1482144    .1773364
                        3  |   .1191055   .0621463     1.92   0.078    -.0151535    .2533645
                        4  |   .0935676   .0585888     1.60   0.134    -.0330057     .220141
                        5  |   .0559497   .0762833     0.73   0.476    -.1088503    .2207497
                        6  |   .0402044    .076093     0.53   0.606    -.1241846    .2045935
                        7  |  -.1851275   .3067684    -0.60   0.557    -.8478604    .4776053
                        8  |   .0882934   .0659593     1.34   0.204    -.0542031    .2307899
                        9  |   .0366553   .0558865     0.66   0.523    -.0840801    .1573906
                       10  |  -.0496155   .1283419    -0.39   0.705    -.3268815    .2276504
                       11  |   .0097034    .068042     0.14   0.889    -.1372924    .1566993
                       12  |   .0714722    .071445     1.00   0.335    -.0828754    .2258198
                       13  |   .0103814   .0461584     0.22   0.826    -.0893378    .1101006
                       14  |   -.213207    .230817    -0.92   0.372    -.7118568    .2854429
                           |
                     _cons |  -.0394321   .0918462    -0.43   0.675    -.2378537    .1589894
--------------------------------------------------------------------------------------------

. 
. margins, dydx(change) at(ws_cab_rescaled=(-1(.1)1)) vsquish

Average marginal effects                          Number of obs   =        151
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : change
1._at        : ws_cab_res~d    =          -1
2._at        : ws_cab_res~d    =         -.9
3._at        : ws_cab_res~d    =         -.8
4._at        : ws_cab_res~d    =         -.7
5._at        : ws_cab_res~d    =         -.6
6._at        : ws_cab_res~d    =         -.5
7._at        : ws_cab_res~d    =         -.4
8._at        : ws_cab_res~d    =         -.3
9._at        : ws_cab_res~d    =         -.2
10._at       : ws_cab_res~d    =         -.1
11._at       : ws_cab_res~d    =           0
12._at       : ws_cab_res~d    =          .1
13._at       : ws_cab_res~d    =          .2
14._at       : ws_cab_res~d    =          .3
15._at       : ws_cab_res~d    =          .4
16._at       : ws_cab_res~d    =          .5
17._at       : ws_cab_res~d    =          .6
18._at       : ws_cab_res~d    =          .7
19._at       : ws_cab_res~d    =          .8
20._at       : ws_cab_res~d    =          .9
21._at       : ws_cab_res~d    =           1

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
change       |
         _at |
          1  |  -.1700347   .0817827    -2.08   0.038    -.3303258   -.0097436
          2  |  -.1606906   .0773541    -2.08   0.038    -.3123018   -.0090793
          3  |  -.1513464   .0729328    -2.08   0.038    -.2942922   -.0084006
          4  |  -.1420023   .0685203    -2.07   0.038    -.2762996   -.0077049
          5  |  -.1326581   .0641183    -2.07   0.039    -.2583277   -.0069885
          6  |   -.123314   .0597292    -2.06   0.039     -.240381   -.0062469
          7  |  -.1139698    .055356    -2.06   0.040    -.2224656    -.005474
          8  |  -.1046257   .0510028    -2.05   0.040    -.2045893    -.004662
          9  |  -.0952815   .0466752    -2.04   0.041    -.1867633   -.0037997
         10  |  -.0859374   .0423811    -2.03   0.043    -.1690028   -.0028719
         11  |  -.0765932   .0381318    -2.01   0.045    -.1513301   -.0018563
         12  |  -.0672491    .033944    -1.98   0.048    -.1337781     -.00072
         13  |  -.0579049   .0298438    -1.94   0.052    -.1163977    .0005879
         14  |  -.0485608   .0258728    -1.88   0.061    -.0992705    .0021489
         15  |  -.0392166   .0221007    -1.77   0.076    -.0825331    .0040999
         16  |  -.0298725   .0186486    -1.60   0.109     -.066423    .0066781
         17  |  -.0205283   .0157286    -1.31   0.192    -.0513559    .0102992
         18  |  -.0111842   .0136858    -0.82   0.414    -.0380079    .0156396
         19  |    -.00184   .0129424    -0.14   0.887    -.0272067    .0235266
         20  |   .0075041   .0137113     0.55   0.584    -.0193696    .0343779
         21  |   .0168483    .015773     1.07   0.285    -.0140662    .0477628
------------------------------------------------------------------------------

. margins, at(ws_cab_rescaled=(-1(.1)1) change=(-2 0 2 4 6) ) vsquish

Predictive margins                                Number of obs   =        151
Model VCE    : Robust

Expression   : Linear prediction, predict()
1._at        : change          =          -2
               ws_cab_res~d    =          -1
2._at        : change          =          -2
               ws_cab_res~d    =         -.9
3._at        : change          =          -2
               ws_cab_res~d    =         -.8
4._at        : change          =          -2
               ws_cab_res~d    =         -.7
5._at        : change          =          -2
               ws_cab_res~d    =         -.6
6._at        : change          =          -2
               ws_cab_res~d    =         -.5
7._at        : change          =          -2
               ws_cab_res~d    =         -.4
8._at        : change          =          -2
               ws_cab_res~d    =         -.3
9._at        : change          =          -2
               ws_cab_res~d    =         -.2
10._at       : change          =          -2
               ws_cab_res~d    =         -.1
11._at       : change          =          -2
               ws_cab_res~d    =           0
12._at       : change          =          -2
               ws_cab_res~d    =          .1
13._at       : change          =          -2
               ws_cab_res~d    =          .2
14._at       : change          =          -2
               ws_cab_res~d    =          .3
15._at       : change          =          -2
               ws_cab_res~d    =          .4
16._at       : change          =          -2
               ws_cab_res~d    =          .5
17._at       : change          =          -2
               ws_cab_res~d    =          .6
18._at       : change          =          -2
               ws_cab_res~d    =          .7
19._at       : change          =          -2
               ws_cab_res~d    =          .8
20._at       : change          =          -2
               ws_cab_res~d    =          .9
21._at       : change          =          -2
               ws_cab_res~d    =           1
22._at       : change          =           0
               ws_cab_res~d    =          -1
23._at       : change          =           0
               ws_cab_res~d    =         -.9
24._at       : change          =           0
               ws_cab_res~d    =         -.8
25._at       : change          =           0
               ws_cab_res~d    =         -.7
26._at       : change          =           0
               ws_cab_res~d    =         -.6
27._at       : change          =           0
               ws_cab_res~d    =         -.5
28._at       : change          =           0
               ws_cab_res~d    =         -.4
29._at       : change          =           0
               ws_cab_res~d    =         -.3
30._at       : change          =           0
               ws_cab_res~d    =         -.2
31._at       : change          =           0
               ws_cab_res~d    =         -.1
32._at       : change          =           0
               ws_cab_res~d    =           0
33._at       : change          =           0
               ws_cab_res~d    =          .1
34._at       : change          =           0
               ws_cab_res~d    =          .2
35._at       : change          =           0
               ws_cab_res~d    =          .3
36._at       : change          =           0
               ws_cab_res~d    =          .4
37._at       : change          =           0
               ws_cab_res~d    =          .5
38._at       : change          =           0
               ws_cab_res~d    =          .6
39._at       : change          =           0
               ws_cab_res~d    =          .7
40._at       : change          =           0
               ws_cab_res~d    =          .8
41._at       : change          =           0
               ws_cab_res~d    =          .9
42._at       : change          =           0
               ws_cab_res~d    =           1
43._at       : change          =           2
               ws_cab_res~d    =          -1
44._at       : change          =           2
               ws_cab_res~d    =         -.9
45._at       : change          =           2
               ws_cab_res~d    =         -.8
46._at       : change          =           2
               ws_cab_res~d    =         -.7
47._at       : change          =           2
               ws_cab_res~d    =         -.6
48._at       : change          =           2
               ws_cab_res~d    =         -.5
49._at       : change          =           2
               ws_cab_res~d    =         -.4
50._at       : change          =           2
               ws_cab_res~d    =         -.3
51._at       : change          =           2
               ws_cab_res~d    =         -.2
52._at       : change          =           2
               ws_cab_res~d    =         -.1
53._at       : change          =           2
               ws_cab_res~d    =           0
54._at       : change          =           2
               ws_cab_res~d    =          .1
55._at       : change          =           2
               ws_cab_res~d    =          .2
56._at       : change          =           2
               ws_cab_res~d    =          .3
57._at       : change          =           2
               ws_cab_res~d    =          .4
58._at       : change          =           2
               ws_cab_res~d    =          .5
59._at       : change          =           2
               ws_cab_res~d    =          .6
60._at       : change          =           2
               ws_cab_res~d    =          .7
61._at       : change          =           2
               ws_cab_res~d    =          .8
62._at       : change          =           2
               ws_cab_res~d    =          .9
63._at       : change          =           2
               ws_cab_res~d    =           1
64._at       : change          =           4
               ws_cab_res~d    =          -1
65._at       : change          =           4
               ws_cab_res~d    =         -.9
66._at       : change          =           4
               ws_cab_res~d    =         -.8
67._at       : change          =           4
               ws_cab_res~d    =         -.7
68._at       : change          =           4
               ws_cab_res~d    =         -.6
69._at       : change          =           4
               ws_cab_res~d    =         -.5
70._at       : change          =           4
               ws_cab_res~d    =         -.4
71._at       : change          =           4
               ws_cab_res~d    =         -.3
72._at       : change          =           4
               ws_cab_res~d    =         -.2
73._at       : change          =           4
               ws_cab_res~d    =         -.1
74._at       : change          =           4
               ws_cab_res~d    =           0
75._at       : change          =           4
               ws_cab_res~d    =          .1
76._at       : change          =           4
               ws_cab_res~d    =          .2
77._at       : change          =           4
               ws_cab_res~d    =          .3
78._at       : change          =           4
               ws_cab_res~d    =          .4
79._at       : change          =           4
               ws_cab_res~d    =          .5
80._at       : change          =           4
               ws_cab_res~d    =          .6
81._at       : change          =           4
               ws_cab_res~d    =          .7
82._at       : change          =           4
               ws_cab_res~d    =          .8
83._at       : change          =           4
               ws_cab_res~d    =          .9
84._at       : change          =           4
               ws_cab_res~d    =           1
85._at       : change          =           6
               ws_cab_res~d    =          -1
86._at       : change          =           6
               ws_cab_res~d    =         -.9
87._at       : change          =           6
               ws_cab_res~d    =         -.8
88._at       : change          =           6
               ws_cab_res~d    =         -.7
89._at       : change          =           6
               ws_cab_res~d    =         -.6
90._at       : change          =           6
               ws_cab_res~d    =         -.5
91._at       : change          =           6
               ws_cab_res~d    =         -.4
92._at       : change          =           6
               ws_cab_res~d    =         -.3
93._at       : change          =           6
               ws_cab_res~d    =         -.2
94._at       : change          =           6
               ws_cab_res~d    =         -.1
95._at       : change          =           6
               ws_cab_res~d    =           0
96._at       : change          =           6
               ws_cab_res~d    =          .1
97._at       : change          =           6
               ws_cab_res~d    =          .2
98._at       : change          =           6
               ws_cab_res~d    =          .3
99._at       : change          =           6
               ws_cab_res~d    =          .4
100._at      : change          =           6
               ws_cab_res~d    =          .5
101._at      : change          =           6
               ws_cab_res~d    =          .6
102._at      : change          =           6
               ws_cab_res~d    =          .7
103._at      : change          =           6
               ws_cab_res~d    =          .8
104._at      : change          =           6
               ws_cab_res~d    =          .9
105._at      : change          =           6
               ws_cab_res~d    =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .4229187   .1970067     2.15   0.032     .0367926    .8090447
          2  |   .3913203    .187168     2.09   0.037     .0244778    .7581629
          3  |    .359722   .1774569     2.03   0.043     .0119129    .7075312
          4  |   .3281237   .1678956     1.95   0.051    -.0009456     .657193
          5  |   .2965254   .1585111     1.87   0.061    -.0141507    .6072015
          6  |   .2649271   .1493369     1.77   0.076    -.0277678     .557622
          7  |   .2333288    .140414     1.66   0.097    -.0418776    .5085352
          8  |   .2017305   .1317936     1.53   0.126    -.0565803    .4600413
          9  |   .1701322   .1235391     1.38   0.168        -.072    .4122644
         10  |   .1385338   .1157287     1.20   0.231    -.0882902    .3653579
         11  |   .1069355   .1084584     0.99   0.324    -.1056391    .3195101
         12  |   .0753372    .101844     0.74   0.459    -.1242734    .2749478
         13  |   .0437389   .0960211     0.46   0.649     -.144459    .2319368
         14  |   .0121406   .0911415     0.13   0.894    -.1664935    .1907746
         15  |  -.0194577   .0873635    -0.22   0.824    -.1906869    .1517715
         16  |   -.051056   .0848342    -0.60   0.547    -.2173281     .115216
         17  |  -.0826544   .0836672    -0.99   0.323     -.246639    .0813303
         18  |  -.1142527   .0839191    -1.36   0.173    -.2787311    .0502258
         19  |   -.145851   .0855776    -1.70   0.088    -.3135799     .021878
         20  |  -.1774493   .0885635    -2.00   0.045    -.3510306    -.003868
         21  |  -.2090476   .0927488    -2.25   0.024     -.390832   -.0272632
         22  |   .0828493   .0903367     0.92   0.359    -.0942074    .2599059
         23  |   .0699392   .0831714     0.84   0.400    -.0930737    .2329521
         24  |   .0570292   .0761782     0.75   0.454    -.0922773    .2063358
         25  |   .0441192   .0694092     0.64   0.525    -.0919204    .1801588
         26  |   .0312092   .0629368     0.50   0.620    -.0921447    .1545631
         27  |   .0182992   .0568623     0.32   0.748    -.0931489    .1297472
         28  |   .0053892   .0513272     0.10   0.916    -.0952103    .1059886
         29  |  -.0075208   .0465244    -0.16   0.872     -.098707    .0836653
         30  |  -.0204309   .0427017    -0.48   0.632    -.1041247     .063263
         31  |  -.0333409   .0401402    -0.83   0.406    -.1120142    .0453324
         32  |  -.0462509   .0390885    -1.18   0.237    -.1228629    .0303612
         33  |  -.0591609    .039667    -1.49   0.136    -.1369067    .0185849
         34  |  -.0720709   .0418079    -1.72   0.085    -.1540129    .0098711
         35  |  -.0849809   .0452904    -1.88   0.061    -.1737484    .0037866
         36  |  -.0978909   .0498338    -1.96   0.049    -.1955635   -.0002184
         37  |   -.110801   .0551769    -2.01   0.045    -.2189456   -.0026563
         38  |   -.123711     .06111    -2.02   0.043    -.2434845   -.0039375
         39  |   -.136621   .0674779    -2.02   0.043    -.2688753   -.0043667
         40  |   -.149531   .0741686    -2.02   0.044    -.2948988   -.0041632
         41  |   -.162441   .0811022    -2.00   0.045    -.3213985   -.0034836
         42  |   -.175351   .0882216    -1.99   0.047    -.3482621     -.00244
         43  |  -.2572202   .1761165    -1.46   0.144    -.6024022    .0879619
         44  |  -.2514419   .1633167    -1.54   0.124    -.5715367     .068653
         45  |  -.2456636   .1505619    -1.63   0.103    -.5407595    .0494323
         46  |  -.2398853   .1378645    -1.74   0.082    -.5100948    .0303242
         47  |   -.234107   .1252421    -1.87   0.062    -.4795771    .0113631
         48  |  -.2283287   .1127199    -2.03   0.043    -.4492556   -.0074018
         49  |  -.2225504   .1003352    -2.22   0.027    -.4192039    -.025897
         50  |  -.2167722   .0881463    -2.46   0.014    -.3895356   -.0440087
         51  |  -.2109939   .0762468    -2.77   0.006    -.3604349   -.0615528
         52  |  -.2052156   .0647967    -3.17   0.002    -.3322147   -.0782164
         53  |  -.1994373   .0540819    -3.69   0.000    -.3054359   -.0934387
         54  |   -.193659   .0446353    -4.34   0.000    -.2811426   -.1061754
         55  |  -.1878807   .0374297    -5.02   0.000    -.2612416   -.1145199
         56  |  -.1821025   .0339244    -5.37   0.000    -.2485931   -.1156118
         57  |  -.1763242   .0352415    -5.00   0.000    -.2453962   -.1072521
         58  |  -.1705459   .0409179    -4.17   0.000    -.2507435   -.0903483
         59  |  -.1647676   .0494752    -3.33   0.001    -.2617373   -.0677979
         60  |  -.1589893    .059687    -2.66   0.008    -.2759737   -.0420049
         61  |   -.153211   .0708413    -2.16   0.031    -.2920574   -.0143646
         62  |  -.1474327    .082557    -1.79   0.074    -.3092415     .014376
         63  |  -.1416545   .0946258    -1.50   0.134    -.3271175    .0438086
         64  |  -.5972896   .3276898    -1.82   0.068     -1.23955    .0449705
         65  |   -.572823   .3070773    -1.87   0.062    -1.174683    .0290375
         66  |  -.5483564   .2865105    -1.91   0.056    -1.109907    .0131938
         67  |  -.5238898   .2659998    -1.97   0.049     -1.04524   -.0025398
         68  |  -.4994232   .2455594    -2.03   0.042    -.9807109   -.0181356
         69  |  -.4749566   .2252084    -2.11   0.035    -.9163571   -.0335562
         70  |  -.4504901   .2049735    -2.20   0.028    -.8522307   -.0487494
         71  |  -.4260235   .1848927    -2.30   0.021    -.7884064   -.0636405
         72  |  -.4015569   .1650222    -2.43   0.015    -.7249945   -.0781193
         73  |  -.3770903   .1454485    -2.59   0.010    -.6621641   -.0920166
         74  |  -.3526237   .1263094    -2.79   0.005    -.6001855   -.1050619
         75  |  -.3281571   .1078366    -3.04   0.002     -.539513   -.1168013
         76  |  -.3036906   .0904394    -3.36   0.001    -.4809485   -.1264326
         77  |   -.279224   .0748713    -3.73   0.000    -.4259691   -.1324788
         78  |  -.2547574   .0625142    -4.08   0.000     -.377283   -.1322318
         79  |  -.2302908   .0555537    -4.15   0.000    -.3391741   -.1214075
         80  |  -.2058242   .0560382    -3.67   0.000    -.3156571   -.0959913
         81  |  -.1813576   .0637983    -2.84   0.004       -.3064   -.0563152
         82  |  -.1568911   .0766554    -2.05   0.041    -.3071328   -.0066493
         83  |  -.1324245   .0925081    -1.43   0.152     -.313737     .048888
         84  |  -.1079579   .1100696    -0.98   0.327    -.3236904    .1077746
         85  |   -.937359   .4870846    -1.92   0.054    -1.892027    .0173092
         86  |  -.8942041   .4580282    -1.95   0.051    -1.791923    .0035147
         87  |  -.8510492   .4290236    -1.98   0.047     -1.69192   -.0101785
         88  |  -.8078943   .4000818    -2.02   0.043     -1.59204   -.0237484
         89  |  -.7647395   .3712177    -2.06   0.039    -1.492313   -.0371662
         90  |  -.7215846   .3424508    -2.11   0.035    -1.392776   -.0503934
         91  |  -.6784297   .3138079    -2.16   0.031    -1.293482   -.0633775
         92  |  -.6352748   .2853263    -2.23   0.026    -1.194504   -.0760455
         93  |  -.5921199   .2570597    -2.30   0.021    -1.095948   -.0882921
         94  |   -.548965   .2290877    -2.40   0.017    -.9979687   -.0999614
         95  |  -.5058101   .2015329    -2.51   0.012    -.9008074   -.1108129
         96  |  -.4626553    .174593    -2.65   0.008    -.8048513   -.1204592
         97  |  -.4195004   .1486029    -2.82   0.005    -.7107567   -.1282441
         98  |  -.3763455   .1241603    -3.03   0.002    -.6196952   -.1329958
         99  |  -.3331906   .1023797    -3.25   0.001    -.5338512   -.1325301
        100  |  -.2900357   .0853247    -3.40   0.001    -.4572691   -.1228024
        101  |  -.2468808   .0762357    -3.24   0.001    -.3963001   -.0974616
        102  |   -.203726   .0779508    -2.61   0.009    -.3565068   -.0509452
        103  |  -.1605711   .0898535    -1.79   0.074    -.3366807    .0155385
        104  |  -.1174162   .1086455    -1.08   0.280    -.3303575     .095525
        105  |  -.0742613   .1314036    -0.57   0.572    -.3318077     .183285
------------------------------------------------------------------------------

. 
. #delimit ;
delimiter now ;
. marginsplot,
>   by(change)
>   xlabel(-1(0.5)1)
>   ylabel(-2(0.5)0.5)
>   xtitle("Intra-cabinet position", size(6))
>   ytitle("Linear prediction", size(6))
>   byopts(rows(1) title("Marginal effect of changes in unemployment rate conditional on intra-cabinet positions", size(6)) iscale(*1.5))
>   recast(line)
>   recastci(rline)
>   ciopts(lpattern(dash))
>   yline(0)
>   scheme(s1mono)
>   xsize(10);

  Variables that uniquely identify margins: ws_cab_rescaled change

. #delimit cr
delimiter now cr
. 
. graph export "./plots/figure3-predicted_effects_conditional_on_changes_in_unemployment.pdf", replace
(file ./plots/figure3-predicted_effects_conditional_on_changes_in_unemployment.pdf written in PDF format)

.     
. 
. /* REGRESSION MODEL CONDITIONAL ON PM IN OFFICE */
. reg change_capital_share junior same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     151
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1809
                                                       Root MSE      =  .31211

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0017722   .0369215    -0.05   0.962    -.0815362    .0779918
          same_party |   .0212227   .0652982     0.33   0.750    -.1198454    .1622908
                     |
                  pm |
                  2  |  -.2061737   .0604736    -3.41   0.005    -.3368191   -.0755284
                  3  |  -.1296783   .0492044    -2.64   0.021     -.235978   -.0233786
                     |
     ws_cab_rescaled |  -.2132031   .0794817    -2.68   0.019    -.3849128   -.0414934
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2727263   .1018079     2.68   0.019     .0527838    .4926688
                  3  |   .3248338   .0955501     3.40   0.005     .1184103    .5312573
                     |
           portfolio |
                  2  |   .0042647   .0683954     0.06   0.951    -.1434946     .152024
                  3  |   .0596531   .0609574     0.98   0.346    -.0720374    .1913437
                  4  |   .0827645   .0559882     1.48   0.163    -.0381907    .2037196
                  5  |    .022406   .0640486     0.35   0.732    -.1159626    .1607746
                  6  |   .0016733   .0747138     0.02   0.982     -.159736    .1630826
                  7  |  -.2476437   .2910642    -0.85   0.410    -.8764496    .3811623
                  8  |   .0490661   .0600475     0.82   0.429    -.0806587    .1787909
                  9  |    -.00797   .0516913    -0.15   0.880    -.1196423    .1037023
                 10  |  -.0926469   .1156625    -0.80   0.438    -.3425205    .1572268
                 11  |   .0009868   .0570053     0.02   0.986    -.1221657    .1241392
                 12  |   .0463188   .0706985     0.66   0.524     -.106416    .1990537
                 13  |  -.0313539   .0474115    -0.66   0.520    -.1337803    .0710724
                 14  |  -.2346474   .2139531    -1.10   0.293     -.696865    .2275701
                     |
               _cons |   .0182609   .0801819     0.23   0.823    -.1549614    .1914833
--------------------------------------------------------------------------------------

. 
. margins, dydx(pm) at(ws_cab_rescaled=(-1(.1)1))

Average marginal effects                          Number of obs   =        151
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : 2.pm 3.pm

1._at        : ws_cab_res~d    =          -1

2._at        : ws_cab_res~d    =         -.9

3._at        : ws_cab_res~d    =         -.8

4._at        : ws_cab_res~d    =         -.7

5._at        : ws_cab_res~d    =         -.6

6._at        : ws_cab_res~d    =         -.5

7._at        : ws_cab_res~d    =         -.4

8._at        : ws_cab_res~d    =         -.3

9._at        : ws_cab_res~d    =         -.2

10._at       : ws_cab_res~d    =         -.1

11._at       : ws_cab_res~d    =           0

12._at       : ws_cab_res~d    =          .1

13._at       : ws_cab_res~d    =          .2

14._at       : ws_cab_res~d    =          .3

15._at       : ws_cab_res~d    =          .4

16._at       : ws_cab_res~d    =          .5

17._at       : ws_cab_res~d    =          .6

18._at       : ws_cab_res~d    =          .7

19._at       : ws_cab_res~d    =          .8

20._at       : ws_cab_res~d    =          .9

21._at       : ws_cab_res~d    =           1

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
2.pm         |
         _at |
          1  |     -.4789    .154133    -3.11   0.002    -.7809951   -.1768049
          2  |  -.4516274   .1442711    -3.13   0.002    -.7343935   -.1688613
          3  |  -.4243548   .1344567    -3.16   0.002    -.6878851   -.1608244
          4  |  -.3970821   .1247012    -3.18   0.001    -.6414919   -.1526723
          5  |  -.3698095   .1150193    -3.22   0.001    -.5952433   -.1443757
          6  |  -.3425369   .1054315    -3.25   0.001    -.5491789   -.1358949
          7  |  -.3152642    .095966    -3.29   0.001    -.5033541   -.1271744
          8  |  -.2879916   .0866627    -3.32   0.001    -.4578473   -.1181359
          9  |   -.260719   .0775801    -3.36   0.001    -.4127731   -.1086648
         10  |  -.2334463   .0688056    -3.39   0.001    -.3683029   -.0985898
         11  |  -.2061737   .0604736    -3.41   0.001    -.3246999   -.0876476
         12  |  -.1789011    .052794    -3.39   0.001    -.2823753   -.0754268
         13  |  -.1516284   .0460938    -3.29   0.001    -.2419706   -.0612862
         14  |  -.1243558    .040858    -3.04   0.002     -.204436   -.0442757
         15  |  -.0970832   .0377015    -2.58   0.010    -.1709768   -.0231895
         16  |  -.0698105   .0371582    -1.88   0.060    -.1426393    .0030182
         17  |  -.0425379   .0393365    -1.08   0.280     -.119636    .0345602
         18  |  -.0152653   .0438324    -0.35   0.728    -.1011752    .0706446
         19  |   .0120074    .050025     0.24   0.810    -.0860398    .1100545
         20  |     .03928   .0573673     0.68   0.494     -.073158    .1517179
         21  |   .0665526   .0654738     1.02   0.309    -.0617738     .194879
-------------+----------------------------------------------------------------
3.pm         |
         _at |
          1  |  -.4545121   .1347706    -3.37   0.001    -.7186577   -.1903665
          2  |  -.4220287   .1255676    -3.36   0.001    -.6681368   -.1759207
          3  |  -.3895454   .1164214    -3.35   0.001    -.6177271   -.1613636
          4  |   -.357062   .1073464    -3.33   0.001     -.567457   -.1466669
          5  |  -.3245786   .0983623    -3.30   0.001    -.5173652    -.131792
          6  |  -.2920952   .0894966    -3.26   0.001    -.4675053   -.1166851
          7  |  -.2596118   .0807882    -3.21   0.001    -.4179538   -.1012698
          8  |  -.2271284    .072294    -3.14   0.002    -.3688221   -.0854347
          9  |  -.1946451   .0640992    -3.04   0.002    -.3202773   -.0690128
         10  |  -.1621617   .0563347    -2.88   0.004    -.2725756   -.0517477
         11  |  -.1296783   .0492044    -2.64   0.008    -.2261172   -.0332394
         12  |  -.0971949    .043025    -2.26   0.024    -.1815224   -.0128674
         13  |  -.0647115     .03826    -1.69   0.091    -.1396997    .0102766
         14  |  -.0322281   .0354837    -0.91   0.364    -.1017749    .0373187
         15  |   .0002552   .0351704     0.01   0.994    -.0686775     .069188
         16  |   .0327386   .0373821     0.88   0.381    -.0405289    .1060062
         17  |    .065222   .0417191     1.56   0.118    -.0165458    .1469899
         18  |   .0977054   .0476039     2.05   0.040     .0044034    .1910074
         19  |   .1301888   .0545379     2.39   0.017     .0232964    .2370812
         20  |   .1626721    .062171     2.62   0.009     .0408192    .2845251
         21  |   .1951555   .0702757     2.78   0.005     .0574176    .3328935
------------------------------------------------------------------------------
Note: dy/dx for factor levels is the discrete change from the base level.

. margins, at(ws_cab_rescaled=(-1(.1)1) pm=(1 2 3))

Predictive margins                                Number of obs   =        151
Model VCE    : Robust

Expression   : Linear prediction, predict()

1._at        : pm              =           1
               ws_cab_res~d    =          -1

2._at        : pm              =           1
               ws_cab_res~d    =         -.9

3._at        : pm              =           1
               ws_cab_res~d    =         -.8

4._at        : pm              =           1
               ws_cab_res~d    =         -.7

5._at        : pm              =           1
               ws_cab_res~d    =         -.6

6._at        : pm              =           1
               ws_cab_res~d    =         -.5

7._at        : pm              =           1
               ws_cab_res~d    =         -.4

8._at        : pm              =           1
               ws_cab_res~d    =         -.3

9._at        : pm              =           1
               ws_cab_res~d    =         -.2

10._at       : pm              =           1
               ws_cab_res~d    =         -.1

11._at       : pm              =           1
               ws_cab_res~d    =           0

12._at       : pm              =           1
               ws_cab_res~d    =          .1

13._at       : pm              =           1
               ws_cab_res~d    =          .2

14._at       : pm              =           1
               ws_cab_res~d    =          .3

15._at       : pm              =           1
               ws_cab_res~d    =          .4

16._at       : pm              =           1
               ws_cab_res~d    =          .5

17._at       : pm              =           1
               ws_cab_res~d    =          .6

18._at       : pm              =           1
               ws_cab_res~d    =          .7

19._at       : pm              =           1
               ws_cab_res~d    =          .8

20._at       : pm              =           1
               ws_cab_res~d    =          .9

21._at       : pm              =           1
               ws_cab_res~d    =           1

22._at       : pm              =           2
               ws_cab_res~d    =          -1

23._at       : pm              =           2
               ws_cab_res~d    =         -.9

24._at       : pm              =           2
               ws_cab_res~d    =         -.8

25._at       : pm              =           2
               ws_cab_res~d    =         -.7

26._at       : pm              =           2
               ws_cab_res~d    =         -.6

27._at       : pm              =           2
               ws_cab_res~d    =         -.5

28._at       : pm              =           2
               ws_cab_res~d    =         -.4

29._at       : pm              =           2
               ws_cab_res~d    =         -.3

30._at       : pm              =           2
               ws_cab_res~d    =         -.2

31._at       : pm              =           2
               ws_cab_res~d    =         -.1

32._at       : pm              =           2
               ws_cab_res~d    =           0

33._at       : pm              =           2
               ws_cab_res~d    =          .1

34._at       : pm              =           2
               ws_cab_res~d    =          .2

35._at       : pm              =           2
               ws_cab_res~d    =          .3

36._at       : pm              =           2
               ws_cab_res~d    =          .4

37._at       : pm              =           2
               ws_cab_res~d    =          .5

38._at       : pm              =           2
               ws_cab_res~d    =          .6

39._at       : pm              =           2
               ws_cab_res~d    =          .7

40._at       : pm              =           2
               ws_cab_res~d    =          .8

41._at       : pm              =           2
               ws_cab_res~d    =          .9

42._at       : pm              =           2
               ws_cab_res~d    =           1

43._at       : pm              =           3
               ws_cab_res~d    =          -1

44._at       : pm              =           3
               ws_cab_res~d    =         -.9

45._at       : pm              =           3
               ws_cab_res~d    =         -.8

46._at       : pm              =           3
               ws_cab_res~d    =         -.7

47._at       : pm              =           3
               ws_cab_res~d    =         -.6

48._at       : pm              =           3
               ws_cab_res~d    =         -.5

49._at       : pm              =           3
               ws_cab_res~d    =         -.4

50._at       : pm              =           3
               ws_cab_res~d    =         -.3

51._at       : pm              =           3
               ws_cab_res~d    =         -.2

52._at       : pm              =           3
               ws_cab_res~d    =         -.1

53._at       : pm              =           3
               ws_cab_res~d    =           0

54._at       : pm              =           3
               ws_cab_res~d    =          .1

55._at       : pm              =           3
               ws_cab_res~d    =          .2

56._at       : pm              =           3
               ws_cab_res~d    =          .3

57._at       : pm              =           3
               ws_cab_res~d    =          .4

58._at       : pm              =           3
               ws_cab_res~d    =          .5

59._at       : pm              =           3
               ws_cab_res~d    =          .6

60._at       : pm              =           3
               ws_cab_res~d    =          .7

61._at       : pm              =           3
               ws_cab_res~d    =          .8

62._at       : pm              =           3
               ws_cab_res~d    =          .9

63._at       : pm              =           3
               ws_cab_res~d    =           1

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .2100384   .0974098     2.16   0.031     .0191187     .400958
          2  |    .188718   .0906418     2.08   0.037     .0110633    .3663728
          3  |   .1673977   .0840807     1.99   0.046     .0026026    .3321929
          4  |   .1460774   .0777788     1.88   0.060    -.0063662     .298521
          5  |   .1247571   .0718043     1.74   0.082    -.0159767    .2654909
          6  |   .1034368   .0662459     1.56   0.118    -.0264027    .2332763
          7  |   .0821165    .061217     1.34   0.180    -.0378667    .2020997
          8  |   .0607962   .0568584     1.07   0.285    -.0506443    .1722367
          9  |   .0394759   .0533347     0.74   0.459    -.0650581    .1440099
         10  |   .0181556   .0508196     0.36   0.721    -.0814491    .1177602
         11  |  -.0031647   .0494675    -0.06   0.949    -.1001192    .0937898
         12  |   -.024485   .0493738    -0.50   0.620     -.121256    .0722859
         13  |  -.0458053   .0505457    -0.91   0.365    -.1448731    .0532624
         14  |  -.0671257    .052899    -1.27   0.204    -.1708058    .0365545
         15  |   -.088446   .0562858    -1.57   0.116     -.198764    .0218721
         16  |  -.1097663   .0605328    -1.81   0.070    -.2284083    .0088758
         17  |  -.1310866   .0654729    -2.00   0.045     -.259411   -.0027621
         18  |  -.1524069   .0709614    -2.15   0.032    -.2914887   -.0133251
         19  |  -.1737272    .076881    -2.26   0.024    -.3244112   -.0230432
         20  |  -.1950475   .0831397    -2.35   0.019    -.3579983   -.0320967
         21  |  -.2163678   .0896664    -2.41   0.016    -.3921108   -.0406248
         22  |  -.2688617   .1093223    -2.46   0.014    -.4831294   -.0545939
         23  |  -.2629093   .0995678    -2.64   0.008    -.4580587     -.06776
         24  |   -.256957    .089824    -2.86   0.004    -.4330089   -.0809051
         25  |  -.2510047   .0800947    -3.13   0.002    -.4079875   -.0940219
         26  |  -.2450524    .070386    -3.48   0.000    -.3830063   -.1070984
         27  |  -.2391001   .0607076    -3.94   0.000    -.3580847   -.1201154
         28  |  -.2331477   .0510769    -4.56   0.000    -.3332565   -.1330389
         29  |  -.2271954    .041527    -5.47   0.000    -.3085868   -.1458041
         30  |  -.2212431     .03213    -6.89   0.000    -.2842168   -.1582694
         31  |  -.2152908   .0230738    -9.33   0.000    -.2605145    -.170067
         32  |  -.2093384   .0149888   -13.97   0.000     -.238716   -.1799608
         33  |  -.2033861   .0104471   -19.47   0.000     -.223862   -.1829103
         34  |  -.1974338   .0136317   -14.48   0.000    -.2241515   -.1707161
         35  |  -.1914815   .0213241    -8.98   0.000    -.2332759    -.149687
         36  |  -.1855291   .0302625    -6.13   0.000    -.2448425   -.1262158
         37  |  -.1795768   .0396122    -4.53   0.000    -.2572152   -.1019384
         38  |  -.1736245    .049139    -3.53   0.000    -.2699352   -.0773138
         39  |  -.1676722   .0587568    -2.85   0.004    -.2828334   -.0525109
         40  |  -.1617198   .0684273    -2.36   0.018    -.2958349   -.0276048
         41  |  -.1557675   .0781309    -1.99   0.046    -.3089013   -.0026338
         42  |  -.1498152   .0878566    -1.71   0.088     -.322011    .0223806
         43  |  -.2444738   .0917901    -2.66   0.008    -.4243791   -.0645684
         44  |  -.2333107   .0844725    -2.76   0.006    -.3988737   -.0677476
         45  |  -.2221476   .0772739    -2.87   0.004    -.3736017   -.0706935
         46  |  -.2109845   .0702311    -3.00   0.003    -.3486349   -.0733342
         47  |  -.1998215   .0633958    -3.15   0.002    -.3240749    -.075568
         48  |  -.1886584   .0568431    -3.32   0.001    -.3000688    -.077248
         49  |  -.1774953   .0506826    -3.50   0.000    -.2768314   -.0781593
         50  |  -.1663322   .0450755    -3.69   0.000    -.2546786   -.0779859
         51  |  -.1551692   .0402537    -3.85   0.000    -.2340649   -.0762734
         52  |  -.1440061   .0365294    -3.94   0.000    -.2156024   -.0724098
         53  |   -.132843   .0342625    -3.88   0.000    -.1999964   -.0656897
         54  |  -.1216799    .033748    -3.61   0.000    -.1878249    -.055535
         55  |  -.1105169   .0350631    -3.15   0.002    -.1792393   -.0417945
         56  |  -.0993538   .0380183    -2.61   0.009    -.1738684   -.0248392
         57  |  -.0881907   .0422712    -2.09   0.037    -.1710407   -.0053408
         58  |  -.0770276   .0474741    -1.62   0.105    -.1700752    .0160199
         59  |  -.0658646   .0533499    -1.23   0.217    -.1704285    .0386993
         60  |  -.0547015   .0597003    -0.92   0.360    -.1717118    .0623088
         61  |  -.0435384   .0663891    -0.66   0.512    -.1736586    .0865818
         62  |  -.0323754   .0733238    -0.44   0.659    -.1760874    .1113367
         63  |  -.0212123   .0804409    -0.26   0.792    -.1788736     .136449
------------------------------------------------------------------------------

. 
. #delimit ;
delimiter now ;
. marginsplot,
>   by(pm)
>   xlabel(-1(0.5)1)
>   ylabel(-0.5(0.25)0.5)
>   xtitle("Intra-cabinet position", size(6))
>   ytitle("Linear prediction", size(6))
>   byopts(rows(1) title("Marginal effect of PM in office conditional on intra-cabinet positions", size(6)) iscale(*1.5))
>   recast(line)
>   recastci(rline)
>   ciopts(lpattern(dash))
>   yline(0)
>   scheme(s1mono)
>   xsize(10);

  Variables that uniquely identify margins: ws_cab_rescaled pm

. #delimit cr
delimiter now cr
. 
. graph export "./plots/figure3-predicted_effects_conditional_on_PM.pdf", replace
(file ./plots/figure3-predicted_effects_conditional_on_PM.pdf written in PDF format)

. 
. 
end of do-file

. 
. clear

. do 8-perform_robustness_checks.do

. /* set more off */
. /* capture log close */
. /* clear */
. 
. use "./generated_data/7-data_for_regression_models.dta"
(Written by R.              )

. 
. /* ORIGINAL MODEL 3, LEAVING OUT ONE PORTFOLIO AT THE TIME */
. levelsof portfolio, local(levels)
1 2 3 4 5 6 7 8 9 10 11 12 13 14

. 
. foreach p of local levels {
  2.     reg change_capital_share junior same_party i.pm##c.ws_cab_rescaled i.portfolio if portfolio != `p', vce(cluster budget_year)
  3. 
.     /* Store left-out portfolio and N obs for table */
.     local portfolio_`p' : label portfolio `p'
  4.     local N_`p' = e(N)
  5. 
.     /* Store coefficients for table */
.     local b_position_`p' = _b[ws_cab_rescaled]
  6.     local b_cowen_`p' = _b[2.pm]
  7.     local b_kennedy_`p' = _b[3.pm]
  8.     local b_cowenXpos_`p' = _b[2.pm#ws_cab_rescaled]
  9.     local b_kennedyXpos_`p' = _b[3.pm#ws_cab_rescaled]
 10. 
.     /* Store standard errors for table */
.     local se_position_`p' = _se[ws_cab_rescaled]
 11.     local se_cowen_`p' = _se[2.pm]
 12.     local se_kennedy_`p' = _se[3.pm]
 13.     local se_cowenXpos_`p' = _se[2.pm#ws_cab_rescaled]
 14.     local se_kennedyXpos_`p' = _se[3.pm#ws_cab_rescaled]
 15.     
. }

Linear regression                                      Number of obs =     144
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1821
                                                       Root MSE      =  .31799

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0020175   .0441783     0.05   0.964    -.0934239    .0974589
          same_party |   .0190122   .0650664     0.29   0.775    -.1215553    .1595797
                     |
                  pm |
                  2  |  -.2134317   .0668466    -3.19   0.007    -.3578449   -.0690184
                  3  |  -.1293393   .0570038    -2.27   0.041    -.2524885   -.0061902
                     |
     ws_cab_rescaled |  -.2264606   .0795898    -2.85   0.014     -.398404   -.0545173
                     |
pm#c.ws_cab_rescaled |
                  2  |   .3209722   .1107693     2.90   0.012     .0816697    .5602748
                  3  |    .328258    .116433     2.82   0.014     .0767198    .5797962
                     |
           portfolio |
                  3  |     .05894   .0498513     1.18   0.258    -.0487573    .1666372
                  4  |   .0828941   .0434304     1.91   0.079    -.0109317    .1767198
                  5  |   .0183975   .0849626     0.22   0.832    -.1651531    .2019481
                  6  |  -.0018264   .0727463    -0.03   0.980    -.1589853    .1553325
                  7  |  -.2531732   .2696302    -0.94   0.365    -.8356739    .3293274
                  8  |   .0426682   .0314692     1.36   0.198    -.0253168    .1106532
                  9  |  -.0136736   .0458896    -0.30   0.770     -.112812    .0854648
                 10  |  -.0944986   .0675645    -1.40   0.185    -.2404627    .0514656
                 11  |  -.0034829   .0538941    -0.06   0.949     -.119914    .1129483
                 12  |   .0389596   .0573603     0.68   0.509    -.0849597     .162879
                 13  |    -.03345   .0560244    -0.60   0.561    -.1544833    .0875834
                 14  |  -.2401845   .1854488    -1.30   0.218    -.6408223    .1604532
                     |
               _cons |   .0239691   .0533582     0.45   0.661    -.0913043    .1392425
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     140
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1766
                                                       Root MSE      =  .32374

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0012352    .039722     0.03   0.976     -.084579    .0870494
          same_party |   .0175964   .0750287     0.23   0.818    -.1444933    .1796861
                     |
                  pm |
                  2  |  -.2029836   .0653865    -3.10   0.008    -.3442426   -.0617247
                  3  |   -.141439     .05537    -2.55   0.024    -.2610585   -.0218195
                     |
     ws_cab_rescaled |  -.2139667   .0809933    -2.64   0.020     -.388942   -.0389914
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2731952   .1058182     2.58   0.023     .0445888    .5018015
                  3  |   .3467981   .1147049     3.02   0.010     .0989932     .594603
                     |
           portfolio |
                  3  |   .0640587    .061371     1.04   0.316    -.0685253    .1966427
                  4  |   .0857933   .0566587     1.51   0.154    -.0366104     .208197
                  5  |   .0188384   .0635248     0.30   0.771    -.1183986    .1560755
                  6  |  -.0009519   .0761524    -0.01   0.990    -.1654692    .1635654
                  7  |  -.2516344   .2949765    -0.85   0.409    -.8888924    .3856235
                  8  |   .0472058   .0606639     0.78   0.450    -.0838507    .1782622
                  9  |  -.0111635   .0522901    -0.21   0.834    -.1241295    .1018025
                 10  |  -.0950446    .115869    -0.82   0.427    -.3453643    .1552751
                 11  |  -.0017588   .0573307    -0.03   0.976    -.1256141    .1220966
                 12  |   .0442403   .0731237     0.61   0.556    -.1137339    .2022145
                 13  |  -.0324025   .0491142    -0.66   0.521    -.1385072    .0737022
                 14  |  -.2329767    .214615    -1.09   0.297    -.6966241    .2306708
                     |
               _cons |   .0225082   .0852719     0.26   0.796    -.1617106     .206727
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     150
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1805
                                                       Root MSE      =  .31211

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0017722   .0367982    -0.05   0.962    -.0812698    .0777255
          same_party |   .0212227   .0650801     0.33   0.750    -.1193744    .1618197
                     |
                  pm |
                  2  |  -.2061737   .0602717    -3.42   0.005    -.3363828   -.0759646
                  3  |  -.1296783   .0490401    -2.64   0.020    -.2356231   -.0237335
                     |
     ws_cab_rescaled |  -.2132031   .0792163    -2.69   0.018    -.3843395   -.0420667
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2727263   .1014679     2.69   0.019     .0535182    .4919344
                  3  |   .3248338   .0952311     3.41   0.005     .1190996    .5305681
                     |
           portfolio |
                  2  |   .0042647    .068167     0.06   0.951    -.1430013    .1515306
                  4  |   .0827645   .0558013     1.48   0.162    -.0377868    .2033158
                  5  |    .022406   .0638348     0.35   0.731    -.1155006    .1603126
                  6  |   .0016733   .0744643     0.02   0.982     -.159197    .1625437
                  7  |  -.2476437   .2900923    -0.85   0.409    -.8743501    .3790628
                  8  |   .0490661    .059847     0.82   0.427    -.0802256    .1783578
                  9  |    -.00797   .0515187    -0.15   0.879    -.1192694    .1033294
                 10  |  -.0926469   .1152763    -0.80   0.436    -.3416862    .1563925
                 11  |   .0009868    .056815     0.02   0.986    -.1217545     .123728
                 12  |   .0463188   .0704624     0.66   0.522     -.105906    .1985437
                 13  |  -.0313539   .0472532    -0.66   0.519    -.1334383    .0707304
                 14  |  -.2346474   .2132387    -1.10   0.291    -.6953217    .2260268
                     |
               _cons |   .0182609   .0799141     0.23   0.823    -.1543831    .1909049
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     148
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1788
                                                       Root MSE      =  .31454

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0017798   .0368366    -0.05   0.962    -.0813603    .0778008
          same_party |   .0213068   .0648995     0.33   0.748       -.1189    .1615137
                     |
                  pm |
                  2  |  -.2061033   .0606098    -3.40   0.005    -.3370428   -.0751638
                  3  |  -.1293455    .050955    -2.54   0.025     -.239427    -.019264
                     |
     ws_cab_rescaled |  -.2131555   .0806171    -2.64   0.020    -.3873182   -.0389928
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2727083   .1015192     2.69   0.019     .0533894    .4920272
                  3  |   .3248019   .0955877     3.40   0.005     .1182974    .5313065
                     |
           portfolio |
                  2  |   .0042616   .0681777     0.06   0.951    -.1430273    .1515505
                  3  |   .0593871   .0613683     0.97   0.351    -.0731911    .1919654
                  5  |   .0224082   .0637985     0.35   0.731    -.1154201    .1602364
                  6  |   .0016822   .0746809     0.02   0.982     -.159656    .1630205
                  7  |  -.2475722   .2902488    -0.85   0.409    -.8746166    .3794722
                  8  |   .0490551   .0599052     0.82   0.428    -.0803623    .1784725
                  9  |  -.0079158   .0517442    -0.15   0.881    -.1197023    .1038708
                 10  |  -.0926303   .1153097    -0.80   0.436    -.3417418    .1564812
                 11  |    .001042   .0568214     0.02   0.986    -.1217131     .123797
                 12  |   .0463351   .0704838     0.66   0.522     -.105936    .1986062
                 13  |  -.0312849   .0474054    -0.66   0.521    -.1336981    .0711282
                 14  |  -.2347126   .2137419    -1.10   0.292     -.696474    .2270488
                     |
               _cons |    .018105   .0795557     0.23   0.824    -.1537646    .1899746
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     134
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1854
                                                       Root MSE      =  .32448

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0095357   .0443521    -0.22   0.833    -.1053527    .0862812
          same_party |   .0125088   .0719303     0.17   0.865    -.1428872    .1679048
                     |
                  pm |
                  2  |  -.2255227   .0557995    -4.04   0.001    -.3460701   -.1049752
                  3  |   -.126692    .051216    -2.47   0.028    -.2373373   -.0160466
                     |
     ws_cab_rescaled |   -.206971   .1024118    -2.02   0.064    -.4282182    .0142761
                     |
pm#c.ws_cab_rescaled |
                  2  |    .352297   .1211152     2.91   0.012     .0906435    .6139505
                  3  |   .3261354   .1077561     3.03   0.010     .0933425    .5589283
                     |
           portfolio |
                  2  |  -.0050474    .071625    -0.07   0.945    -.1597838    .1496891
                  3  |   .0456957   .0768107     0.59   0.562    -.1202438    .2116353
                  4  |   .0713678   .0657854     1.08   0.298    -.0707529    .2134885
                  6  |  -.0015236   .0806999    -0.02   0.985    -.1758652    .1728181
                  7  |  -.2421848   .2998946    -0.81   0.434    -.8900677    .4056981
                  8  |   .0382745   .0684801     0.56   0.586    -.1096678    .1862168
                  9  |    -.01629   .0544968    -0.30   0.770    -.1340231    .1014431
                 10  |  -.0877479    .120211    -0.73   0.478    -.3474479    .1719522
                 11  |  -.0060475   .0621946    -0.10   0.924    -.1404107    .1283158
                 12  |   .0311084   .0682689     0.46   0.656    -.1163776    .1785944
                 13  |  -.0333107   .0526394    -0.63   0.538    -.1470312    .0804097
                 14  |  -.2441255   .2264818    -1.08   0.301    -.7334097    .2451588
                     |
               _cons |   .0355529   .0946051     0.38   0.713    -.1688289    .2399347
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     129
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2085
                                                       Root MSE      =  .33059

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0119133   .0418228     0.28   0.780    -.0784394     .102266
          same_party |  -.0034764   .0654961    -0.05   0.958     -.144972    .1380193
                     |
                  pm |
                  2  |  -.2486675   .0717056    -3.47   0.004    -.4035781    -.093757
                  3  |   -.162835   .0518155    -3.14   0.008    -.2747756   -.0508945
                     |
     ws_cab_rescaled |  -.2634898   .1095626    -2.40   0.032    -.5001855   -.0267942
                     |
pm#c.ws_cab_rescaled |
                  2  |   .3022058   .1105456     2.73   0.017     .0633866     .541025
                  3  |   .3613844   .1049984     3.44   0.004     .1345492    .5882197
                     |
           portfolio |
                  2  |   .0068442   .0714282     0.10   0.925    -.1474671    .1611554
                  3  |   .0831763   .0715114     1.16   0.266    -.0713146    .2376671
                  4  |   .0934811   .0610577     1.53   0.150     -.038426    .2253882
                  5  |    .021147   .0675127     0.31   0.759    -.1247054    .1669994
                  7  |   -.274463   .2994378    -0.92   0.376    -.9213591     .372433
                  8  |   .0428067   .0608958     0.70   0.494    -.0887507    .1743642
                  9  |  -.0119633   .0520261    -0.23   0.822    -.1243588    .1004321
                 10  |  -.0971842   .1191553    -0.82   0.429    -.3546035    .1602351
                 11  |  -.0108193   .0572359    -0.19   0.853    -.1344698    .1128313
                 12  |   .0435403   .0728626     0.60   0.560    -.1138698    .2009505
                 13  |   -.045505   .0448933    -1.01   0.329    -.1424912    .0514811
                 14  |   -.243135   .2154305    -1.13   0.279    -.7085442    .2222743
                     |
               _cons |   .0569567   .0796693     0.71   0.487    -.1151583    .2290717
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     135
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2568
                                                       Root MSE      =  .18857

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0238266   .0280093    -0.85   0.410     -.084337    .0366839
          same_party |  -.0016732   .0245065    -0.07   0.947    -.0546163    .0512698
                     |
                  pm |
                  2  |  -.1405263   .0266212    -5.28   0.000    -.1980379   -.0830147
                  3  |  -.1258518   .0560456    -2.25   0.043    -.2469309   -.0047727
                     |
     ws_cab_rescaled |  -.1556997   .0729145    -2.14   0.052    -.3132219    .0018226
                     |
pm#c.ws_cab_rescaled |
                  2  |   .1197208   .0798282     1.50   0.158    -.0527374    .2921791
                  3  |   .2864008   .1040072     2.75   0.016     .0617068    .5110947
                     |
           portfolio |
                  2  |   .0019837   .0687895     0.03   0.977     -.146627    .1505943
                  3  |   .0602722   .0626745     0.96   0.354     -.075128    .1956723
                  4  |   .0762953   .0619413     1.23   0.240    -.0575207    .2101113
                  5  |   .0191247    .069656     0.27   0.788    -.1313578    .1696073
                  6  |   .0030699   .0720161     0.04   0.967    -.1525113    .1586512
                  8  |   .0560497   .0586477     0.96   0.357     -.070651    .1827503
                  9  |  -.0037061   .0515448    -0.07   0.944    -.1150619    .1076497
                 10  |   -.095712   .1176061    -0.81   0.430    -.3497846    .1583607
                 11  |  -.0037894   .0588102    -0.06   0.950     -.130841    .1232622
                 12  |   .0365281   .0634641     0.58   0.575    -.1005776    .1736339
                 13  |  -.0281127   .0533554    -0.53   0.607      -.14338    .0871546
                 14  |  -.2319648   .2126978    -1.09   0.295    -.6914705    .2275408
                     |
               _cons |   .0306539   .0579828     0.53   0.606    -.0946104    .1559182
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     140
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1811
                                                       Root MSE      =  .32396

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0077056   .0437054    -0.18   0.863    -.1021254    .0867141
          same_party |   .0292444   .0788665     0.37   0.717    -.1411363    .1996252
                     |
                  pm |
                  2  |  -.2127001   .0614606    -3.46   0.004    -.3454775   -.0799226
                  3  |  -.1425129    .062164    -2.29   0.039    -.2768102   -.0082157
                     |
     ws_cab_rescaled |  -.2189981   .0876792    -2.50   0.027    -.4084175   -.0295787
                     |
pm#c.ws_cab_rescaled |
                  2  |    .265755   .1037549     2.56   0.024     .0416062    .4899037
                  3  |   .3505655   .1120307     3.13   0.008      .108538    .5925931
                     |
           portfolio |
                  2  |   .0024874   .0677261     0.04   0.971     -.143826    .1488008
                  3  |   .0572549   .0660248     0.87   0.402    -.0853829    .1998927
                  4  |   .0792365   .0575519     1.38   0.192    -.0450968    .2035697
                  5  |   .0236069   .0663672     0.36   0.728    -.1197708    .1669847
                  6  |   .0008366   .0762155     0.01   0.991     -.163817    .1654902
                  7  |   -.248642   .2948121    -0.84   0.414    -.8855449     .388261
                  9  |  -.0099207   .0531462    -0.19   0.855     -.124736    .1048946
                 10  |  -.0954585   .1143865    -0.83   0.419    -.3425756    .1516585
                 11  |  -.0001853   .0578923    -0.00   0.997    -.1252541    .1248835
                 12  |   .0503821   .0727772     0.69   0.501    -.1068435    .2076078
                 13  |  -.0405727   .0508995    -0.80   0.440    -.1505344    .0693889
                 14  |  -.2314128   .2189681    -1.06   0.310    -.7044646    .2416389
                     |
               _cons |   .0191394   .0871913     0.22   0.830    -.1692259    .2075047
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     138
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1818
                                                       Root MSE      =   .3268

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0007815    .039949    -0.02   0.985     -.087086    .0855229
          same_party |   .0189544   .0701532     0.27   0.791    -.1326025    .1705112
                     |
                  pm |
                  2  |  -.2169051   .0649397    -3.34   0.005    -.3571989   -.0766114
                  3  |  -.1343601   .0489478    -2.74   0.017    -.2401053   -.0286149
                     |
     ws_cab_rescaled |  -.2238472   .0856656    -2.61   0.021    -.4089164   -.0387779
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2764406     .10158     2.72   0.017     .0569902    .4958909
                  3  |   .3327828   .1007279     3.30   0.006     .1151734    .5503921
                     |
           portfolio |
                  2  |    .004299    .067728     0.06   0.950    -.1420186    .1506165
                  3  |   .0608799   .0613993     0.99   0.340    -.0717651     .193525
                  4  |   .0829009   .0564823     1.47   0.166    -.0391217    .2049235
                  5  |   .0229635   .0658098     0.35   0.733    -.1192099     .165137
                  6  |   .0017248   .0747486     0.02   0.982    -.1597597    .1632092
                  7  |  -.2521593   .2939427    -0.86   0.407    -.8871838    .3828653
                  8  |   .0482752   .0601494     0.80   0.437    -.0816697    .1782202
                 10  |   -.093673   .1160181    -0.81   0.434    -.3443149     .156969
                 11  |  -.0009245   .0572595    -0.02   0.987    -.1246261    .1227771
                 12  |    .047005   .0719153     0.65   0.525    -.1083585    .2023685
                 13  |   -.035622   .0478921    -0.74   0.470    -.1390867    .0678426
                 14  |  -.2368227   .2141517    -1.11   0.289    -.6994693    .2258239
                     |
               _cons |   .0248403   .0834692     0.30   0.771     -.155484    .2051645
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     142
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1725
                                                       Root MSE      =  .31933

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0089159   .0420484     0.21   0.835    -.0819242    .0997561
          same_party |   .0162363    .064068     0.25   0.804    -.1221743    .1546468
                     |
                  pm |
                  2  |  -.1910158   .0623758    -3.06   0.009    -.3257706    -.056261
                  3  |  -.1380715   .0497139    -2.78   0.016    -.2454718   -.0306712
                     |
     ws_cab_rescaled |  -.2228894   .0798666    -2.79   0.015    -.3954307    -.050348
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2640195   .1099389     2.40   0.032     .0265109    .5015282
                  3  |   .3190581   .0977003     3.27   0.006     .1079895    .5301268
                     |
           portfolio |
                  2  |   .0117662   .0708806     0.17   0.871    -.1413619    .1648944
                  3  |    .083819   .0614437     1.36   0.196     -.048922    .2165601
                  4  |   .0993411   .0559742     1.77   0.099    -.0215838     .220266
                  5  |   .0235045   .0627606     0.37   0.714    -.1120815    .1590905
                  6  |   .0048059   .0748605     0.06   0.950    -.1569205    .1665322
                  7  |  -.2528968   .2908535    -0.87   0.400    -.8812476     .375454
                  8  |   .0542747   .0606401     0.90   0.387    -.0767304    .1852797
                  9  |  -.0047204   .0515337    -0.09   0.928    -.1160523    .1066114
                 11  |   .0043444   .0565648     0.08   0.940    -.1178564    .1265453
                 12  |    .049751   .0718709     0.69   0.501    -.1055167    .2050187
                 13  |  -.0237844   .0486617    -0.49   0.633    -.1289117    .0813429
                 14  |  -.2268628   .2137769    -1.06   0.308    -.6886997    .2349741
                     |
               _cons |   .0123859   .0833341     0.15   0.884    -.1676465    .1924183
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     139
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1896
                                                       Root MSE      =  .32388

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0116123   .0377755    -0.31   0.763    -.0932213    .0699968
          same_party |   .0353357   .0811921     0.44   0.671    -.1400692    .2107406
                     |
                  pm |
                  2  |  -.2179694   .0634865    -3.43   0.004    -.3551236   -.0808151
                  3  |  -.1364839   .0476735    -2.86   0.013    -.2394762   -.0334915
                     |
     ws_cab_rescaled |  -.2586039   .0855227    -3.02   0.010    -.4433644   -.0738434
                     |
pm#c.ws_cab_rescaled |
                  2  |   .3113172   .1158566     2.69   0.019     .0610243    .5616101
                  3  |   .3817084    .117852     3.24   0.006     .1271046    .6363122
                     |
           portfolio |
                  2  |   .0055951   .0670768     0.08   0.935    -.1393156    .1505057
                  3  |   .0540176   .0623474     0.87   0.402    -.0806758    .1887111
                  4  |   .0880373   .0500044     1.76   0.102    -.0199907    .1960653
                  5  |   .0318308   .0712722     0.45   0.663    -.1221434     .185805
                  6  |   .0088228   .0740958     0.12   0.907    -.1512514    .1688971
                  7  |  -.2502443   .2946677    -0.85   0.411    -.8868351    .3863466
                  8  |   .0580691   .0624888     0.93   0.370    -.0769297    .1930679
                  9  |  -.0040121   .0547281    -0.07   0.943     -.122245    .1142207
                 10  |   -.091938   .1167148    -0.79   0.445    -.3440849    .1602089
                 12  |    .055776   .0767071     0.73   0.480    -.1099396    .2214917
                 13  |  -.0426856   .0485258    -0.88   0.395    -.1475192    .0621479
                 14  |  -.2300496   .2139874    -1.08   0.302    -.6923413    .2322421
                     |
               _cons |   .0129445   .0899849     0.14   0.888    -.1814561    .2073451
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     141
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1892
                                                       Root MSE      =  .32142

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0033171   .0384244    -0.09   0.933    -.0863281    .0796938
          same_party |   .0391434   .0754818     0.52   0.613    -.1239251    .2022119
                     |
                  pm |
                  2  |  -.2225338   .0648304    -3.43   0.004    -.3625913   -.0824763
                  3  |  -.1329885   .0559906    -2.38   0.034    -.2539489   -.0120281
                     |
     ws_cab_rescaled |  -.2172147   .0885451    -2.45   0.029    -.4085048   -.0259245
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2547182   .1113853     2.29   0.040     .0140849    .4953514
                  3  |   .3449718   .1113005     3.10   0.008     .1045216     .585422
                     |
           portfolio |
                  2  |   .0029065   .0654091     0.04   0.965    -.1384013    .1442144
                  3  |   .0477748   .0624092     0.77   0.458    -.0870521    .1826017
                  4  |   .0745071   .0558062     1.34   0.205    -.0460549    .1950691
                  5  |   .0233748   .0668964     0.35   0.732    -.1211461    .1678958
                  6  |  -.0010211   .0741997    -0.01   0.989    -.1613198    .1592776
                  7  |  -.2474091    .293017    -0.84   0.414    -.8804338    .3856155
                  8  |   .0499721    .058725     0.85   0.410    -.0768957    .1768398
                  9  |  -.0085504   .0518524    -0.16   0.872    -.1205708      .10347
                 10  |  -.0971122   .1123039    -0.86   0.403      -.33973    .1455055
                 11  |   .0024173   .0571281     0.04   0.967    -.1210004    .1258351
                 13  |  -.0409374   .0477522    -0.86   0.407    -.1440999    .0622251
                 14  |  -.2339362   .2148512    -1.09   0.296    -.6980941    .2302216
                     |
               _cons |   .0104064   .0855195     0.12   0.905    -.1743472    .1951601
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     142
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1823
                                                       Root MSE      =  .32124

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0008607   .0375399    -0.02   0.982    -.0819607    .0802393
          same_party |   .0190344   .0650642     0.29   0.774    -.1215283     .159597
                     |
                  pm |
                  2  |  -.2188361   .0651925    -3.36   0.005     -.359676   -.0779963
                  3  |  -.1330311   .0485803    -2.74   0.017    -.2379823   -.0280798
                     |
     ws_cab_rescaled |  -.2201951   .0811243    -2.71   0.018    -.3954534   -.0449367
                     |
pm#c.ws_cab_rescaled |
                  2  |   .3065705   .1121809     2.73   0.017     .0642185    .5489226
                  3  |   .3297535   .0949702     3.47   0.004      .124583    .5349241
                     |
           portfolio |
                  2  |   .0026146   .0694062     0.04   0.971    -.1473282    .1525575
                  3  |   .0598221   .0611039     0.98   0.345    -.0721849     .191829
                  4  |   .0819431   .0561123     1.46   0.168    -.0392801    .2031663
                  5  |   .0220592   .0647985     0.34   0.739    -.1179294    .1620479
                  6  |   .0009552   .0749434     0.01   0.990    -.1609502    .1628605
                  7  |   -.248694    .292131    -0.85   0.410    -.8798046    .3824165
                  8  |   .0458771   .0616255     0.74   0.470    -.0872567     .179011
                  9  |  -.0106384   .0524128    -0.20   0.842    -.1238693    .1025925
                 10  |  -.0914219   .1160538    -0.79   0.445    -.3421408    .1592971
                 11  |  -.0011128   .0578896    -0.02   0.985    -.1261757    .1239502
                 12  |   .0433749   .0711161     0.61   0.552    -.1102621    .1970119
                 14  |  -.2370593   .2145539    -1.10   0.289    -.7005748    .2264563
                     |
               _cons |   .0242913   .0817381     0.30   0.771    -.1522932    .2008757
--------------------------------------------------------------------------------------

Linear regression                                      Number of obs =     141
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1329
                                                       Root MSE      =  .29428

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0101802    .028524     0.36   0.727    -.0514422    .0718026
          same_party |   .0485197   .0723866     0.67   0.514    -.1078619    .2049014
                     |
                  pm |
                  2  |  -.1555737   .0628543    -2.48   0.028    -.2913621   -.0197853
                  3  |  -.0439985   .0329624    -1.33   0.205    -.1152094    .0272124
                     |
     ws_cab_rescaled |  -.1351259   .0551183    -2.45   0.029    -.2542017   -.0160501
                     |
pm#c.ws_cab_rescaled |
                  2  |   .2080543   .0789706     2.63   0.021     .0374487    .3786598
                  3  |   .1821613   .0794049     2.29   0.039     .0106175    .3537051
                     |
           portfolio |
                  2  |   .0105319   .0719149     0.15   0.886    -.1448309    .1658946
                  3  |   .0345657   .0538508     0.64   0.532    -.0817718    .1509033
                  4  |    .074986   .0618823     1.21   0.247    -.0587025    .2086745
                  5  |   .0224819   .0525877     0.43   0.676    -.0911269    .1360907
                  6  |   .0030133   .0767359     0.04   0.969    -.1627645    .1687911
                  7  |  -.2132498   .2855946    -0.75   0.469    -.8302394    .4037399
                  8  |   .0521601   .0602755     0.87   0.403    -.0780573    .1823774
                  9  |   .0069411   .0545019     0.13   0.901    -.1108031    .1246852
                 10  |   -.083712   .1149868    -0.73   0.480    -.3321258    .1647018
                 11  |   .0249501    .056835     0.44   0.668    -.0978346    .1477348
                 12  |   .0548679   .0740694     0.74   0.472    -.1051494    .2148851
                 13  |   .0097908   .0519612     0.19   0.853    -.1024647    .1220462
                     |
               _cons |  -.0491107   .0815384    -0.60   0.557    -.2252637    .1270422
--------------------------------------------------------------------------------------

. 
. /* PRINT TABLE 3.3 IN APPENDIX */
. foreach p of local levels {
  2.     di "Portfolio:", "`portfolio_`p''"
  3.     di "N obs:", `N_`p''
  4.     di "Coefficients:", %12.2f `b_position_`p'', %12.2f `b_cowen_`p'', %12.2f `b_kennedy_`p'', %12.2f `b_cowenXpos_`p'', %12.2f `b_k
> ennedyXpos_`p''
  5.     di "Standard errors:",  %12.2f `se_position_`p'', %12.2f `se_cowen_`p'', %12.2f `se_kennedy_`p'', %12.2f `se_cowenXpos_`p'', %12
> .2f `se_kennedyXpos_`p''
  6.     di "----------------------------------------------------------------------------------------------------"
  7. }
Portfolio: Agriculture
N obs: 144
Coefficients:        -0.23        -0.21        -0.13         0.32         0.33
Standard errors:         0.08         0.07         0.06         0.11         0.12
----------------------------------------------------------------------------------------------------
Portfolio: Arts
N obs: 140
Coefficients:        -0.21        -0.20        -0.14         0.27         0.35
Standard errors:         0.08         0.07         0.06         0.11         0.11
----------------------------------------------------------------------------------------------------
Portfolio: Children
N obs: 150
Coefficients:        -0.21        -0.21        -0.13         0.27         0.32
Standard errors:         0.08         0.06         0.05         0.10         0.10
----------------------------------------------------------------------------------------------------
Portfolio: Defence
N obs: 148
Coefficients:        -0.21        -0.21        -0.13         0.27         0.32
Standard errors:         0.08         0.06         0.05         0.10         0.10
----------------------------------------------------------------------------------------------------
Portfolio: Education
N obs: 134
Coefficients:        -0.21        -0.23        -0.13         0.35         0.33
Standard errors:         0.10         0.06         0.05         0.12         0.11
----------------------------------------------------------------------------------------------------
Portfolio: Enterprise
N obs: 129
Coefficients:        -0.26        -0.25        -0.16         0.30         0.36
Standard errors:         0.11         0.07         0.05         0.11         0.10
----------------------------------------------------------------------------------------------------
Portfolio: Environment
N obs: 135
Coefficients:        -0.16        -0.14        -0.13         0.12         0.29
Standard errors:         0.07         0.03         0.06         0.08         0.10
----------------------------------------------------------------------------------------------------
Portfolio: Foreign
N obs: 140
Coefficients:        -0.22        -0.21        -0.14         0.27         0.35
Standard errors:         0.09         0.06         0.06         0.10         0.11
----------------------------------------------------------------------------------------------------
Portfolio: Gaeltacht
N obs: 138
Coefficients:        -0.22        -0.22        -0.13         0.28         0.33
Standard errors:         0.09         0.06         0.05         0.10         0.10
----------------------------------------------------------------------------------------------------
Portfolio: Health
N obs: 142
Coefficients:        -0.22        -0.19        -0.14         0.26         0.32
Standard errors:         0.08         0.06         0.05         0.11         0.10
----------------------------------------------------------------------------------------------------
Portfolio: Justice
N obs: 139
Coefficients:        -0.26        -0.22        -0.14         0.31         0.38
Standard errors:         0.09         0.06         0.05         0.12         0.12
----------------------------------------------------------------------------------------------------
Portfolio: Resources
N obs: 141
Coefficients:        -0.22        -0.22        -0.13         0.25         0.34
Standard errors:         0.09         0.06         0.06         0.11         0.11
----------------------------------------------------------------------------------------------------
Portfolio: Social
N obs: 142
Coefficients:        -0.22        -0.22        -0.13         0.31         0.33
Standard errors:         0.08         0.07         0.05         0.11         0.09
----------------------------------------------------------------------------------------------------
Portfolio: Transport
N obs: 141
Coefficients:        -0.14        -0.16        -0.04         0.21         0.18
Standard errors:         0.06         0.06         0.03         0.08         0.08
----------------------------------------------------------------------------------------------------

. 
. 
. /* Estimate regressions with unique ministers, averaging over DV */
. /* ------------------------------------------------------------- */
. /* Note: Budget data is by portfolio, not by department. As a result,
>    the same minister can be assigned to more than one portfolio, which
>    results in duplicate cases.  Therefore take the average change in
>    the DV and drop duplicates. */
. bysort yearMemberID: egen avg_change_capital_share = mean(change_capital_share)
(17 missing values generated)

. bysort yearMemberID: egen avg_change_current_share = mean(change_current_share)
(17 missing values generated)

. bysort yearMemberID: gen id = _n

. bysort yearMemberID: gen member_count = _N

. 
. preserve

. keep if id == 1
(20 observations deleted)

. 
. /* conditional on debt */
. estimates clear

. reg avg_change_capital_share junior same_party c.dpgChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     131
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1927
                                                       Root MSE      =  .33059

                                            (Std. Err. adjusted for 14 clusters in budget_year)
-----------------------------------------------------------------------------------------------
                              |               Robust
     avg_change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------+----------------------------------------------------------------
                       junior |  -.0130109   .0399534    -0.33   0.750     -.099325    .0733032
                   same_party |  -.0119126   .0741595    -0.16   0.875    -.1721246    .1482993
                    dpgChange |  -.0087367   .0035173    -2.48   0.027    -.0163354    -.001138
              ws_cab_rescaled |  -.1882386   .1043837    -1.80   0.095    -.4137459    .0372687
                              |
c.dpgChange#c.ws_cab_rescaled |   .0133884   .0047367     2.83   0.014     .0031553    .0236214
                              |
                    portfolio |
                           2  |   .0095364   .0849467     0.11   0.912    -.1739798    .1930526
                           3  |   .1228112   .0759529     1.62   0.130    -.0412751    .2868974
                           4  |   .0702364   .0722068     0.97   0.348    -.0857569    .2262297
                           5  |   .0140259   .1017767     0.14   0.893    -.2058493    .2339011
                           6  |   .0047872   .0926166     0.05   0.960    -.1952988    .2048732
                           7  |  -.2554404   .3461201    -0.74   0.474    -1.003188    .4923067
                           8  |   .0796048   .0765884     1.04   0.318    -.0858544    .2450641
                           9  |  -.0216542   .0540897    -0.40   0.695     -.138508    .0951995
                          10  |  -.0648534   .1355172    -0.48   0.640    -.3576205    .2279137
                          11  |  -.0488903   .0709551    -0.69   0.503    -.2021794    .1043988
                          12  |   .0536851   .0955258     0.56   0.584    -.1526859    .2600561
                          13  |  -.0419735   .0453618    -0.93   0.372    -.1399717    .0560247
                          14  |  -.1927903   .2247327    -0.86   0.407    -.6782957    .2927151
                              |
                        _cons |   .0237601   .1078609     0.22   0.829    -.2092593    .2567795
-----------------------------------------------------------------------------------------------

. estimates store debt_capital

. 
. reg avg_change_current_share junior same_party c.dpgChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     131
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1684
                                                       Root MSE      =  .66725

                                            (Std. Err. adjusted for 14 clusters in budget_year)
-----------------------------------------------------------------------------------------------
                              |               Robust
     avg_change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------+----------------------------------------------------------------
                       junior |   .0743904   .0665811     1.12   0.284    -.0694494    .2182302
                   same_party |  -.0232511    .054165    -0.43   0.675    -.1402674    .0937652
                    dpgChange |   .0099773   .0022817     4.37   0.001     .0050479    .0149067
              ws_cab_rescaled |  -.0025683   .1262787    -0.02   0.984    -.2753768    .2702402
                              |
c.dpgChange#c.ws_cab_rescaled |  -.0253914   .0105005    -2.42   0.031    -.0480763   -.0027064
                              |
                    portfolio |
                           2  |   .1705546    .169327     1.01   0.332    -.1952541    .5363634
                           3  |   .5807005   .2192486     2.65   0.020     .1070427    1.054358
                           4  |   .0632415   .1951821     0.32   0.751    -.3584237    .4849068
                           5  |   .3673909   .2607595     1.41   0.182    -.1959457    .9307276
                           6  |  -.1155067   .2664224    -0.43   0.672    -.6910773    .4600639
                           7  |   .0213618   .1426401     0.15   0.883    -.2867933    .3295169
                           8  |   .1767912   .1861115     0.95   0.359    -.2252782    .5788606
                           9  |   .1924747   .1774247     1.08   0.298    -.1908281    .5757776
                          10  |   .2882512   .4841827     0.60   0.562     -.757762    1.334264
                          11  |   .1997407    .117369     1.70   0.113    -.0538197    .4533011
                          12  |   .1911109   .1813661     1.05   0.311    -.2007068    .5829285
                          13  |   .8768988    .739824     1.19   0.257    -.7213938    2.475192
                          14  |   .4094018   .2377963     1.72   0.109     -.104326    .9231295
                              |
                        _cons |  -.2256904   .1309736    -1.72   0.109    -.5086417    .0572609
-----------------------------------------------------------------------------------------------

. estimates store debt_current

. 
. 
. /* conditional on unemployment */    
. reg avg_change_capital_share junior same_party c.urChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     131
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1741
                                                       Root MSE      =  .33437

                                           (Std. Err. adjusted for 14 clusters in budget_year)
----------------------------------------------------------------------------------------------
                             |               Robust
    avg_change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
                      junior |  -.0209172   .0312481    -0.67   0.515    -.0884246    .0465903
                  same_party |  -.0031672   .0766326    -0.04   0.968    -.1687218    .1623874
                    urChange |  -.0804845   .0441896    -1.82   0.092    -.1759503    .0149813
             ws_cab_rescaled |  -.1269966   .1119893    -1.13   0.277    -.3689348    .1149416
                             |
c.urChange#c.ws_cab_rescaled |    .097659   .0476706     2.05   0.061    -.0053271    .2006452
                             |
                   portfolio |
                          2  |  -.0041996   .0841462    -0.05   0.961    -.1859864    .1775873
                          3  |   .1002312   .0772479     1.30   0.217    -.0666527    .2671151
                          4  |   .0695818    .085648     0.81   0.431    -.1154495     .254613
                          5  |   .0268474   .0987801     0.27   0.790    -.1865541    .2402488
                          6  |    .015636   .0951502     0.16   0.872    -.1899236    .2211956
                          7  |  -.2055501   .3614111    -0.57   0.579    -.9863313    .5752312
                          8  |   .0734525   .0797466     0.92   0.374    -.0988296    .2457345
                          9  |   .0036661   .0608503     0.06   0.953    -.1277931    .1351252
                         10  |  -.0492871   .1335061    -0.37   0.718    -.3377094    .2391353
                         11  |  -.0288647    .084109    -0.34   0.737    -.2105712    .1528418
                         12  |   .0739127   .0968043     0.76   0.459    -.1352202    .2830456
                         13  |  -.0100357   .0491736    -0.20   0.841    -.1162689    .0961975
                         14  |  -.2306692   .2458561    -0.94   0.365    -.7618091    .3004707
                             |
                       _cons |  -.0122375   .1151027    -0.11   0.917    -.2609017    .2364267
----------------------------------------------------------------------------------------------

. estimates store ur_capital

. 
. reg avg_change_current_share junior same_party c.urChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     131
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1417
                                                       Root MSE      =  .67787

                                           (Std. Err. adjusted for 14 clusters in budget_year)
----------------------------------------------------------------------------------------------
                             |               Robust
    avg_change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
                      junior |   .0672322   .0533476     1.26   0.230    -.0480184    .1824827
                  same_party |   -.037385    .058634    -0.64   0.535     -.164056     .089286
                    urChange |   .0768877   .0290441     2.65   0.020     .0141417    .1396338
             ws_cab_rescaled |  -.1328425   .1580953    -0.84   0.416    -.4743868    .2087017
                             |
c.urChange#c.ws_cab_rescaled |  -.0963592   .1032055    -0.93   0.367    -.3193212    .1266028
                             |
                   portfolio |
                          2  |   .1761225    .146274     1.20   0.250    -.1398833    .4921283
                          3  |   .5691858   .1691657     3.36   0.005     .2037256     .934646
                          4  |   .0795456   .2034221     0.39   0.702    -.3599212    .5190124
                          5  |   .3393633   .2583297     1.31   0.212     -.218724    .8974507
                          6  |  -.1269038   .2431866    -0.52   0.611    -.6522766     .398469
                          7  |  -.0342798   .1321195    -0.26   0.799    -.3197067     .251147
                          8  |   .1714342    .162496     1.06   0.311    -.1796172    .5224855
                          9  |   .1530502    .156179     0.98   0.345     -.184354    .4904545
                         10  |   .2730277   .4616545     0.59   0.564    -.7243161    1.270372
                         11  |   .1449515   .1182149     1.23   0.242    -.1104363    .4003392
                         12  |   .1455755    .160922     0.90   0.382    -.2020753    .4932263
                         13  |   .8216848   .7291312     1.13   0.280    -.7535074    2.396877
                         14  |   .4496218   .3060475     1.47   0.166    -.2115537    1.110797
                             |
                       _cons |  -.1658572   .1199011    -1.38   0.190    -.4248877    .0931733
----------------------------------------------------------------------------------------------

. estimates store ur_current

. 
. 
. /* conditional on PM */    
. reg avg_change_capital_share junior same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     131
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1822
                                                       Root MSE      =  .33574

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
avg_change_capital~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |  -.0112015    .047341    -0.24   0.817    -.1134755    .0910725
          same_party |   .0179929   .0838985     0.21   0.834    -.1632588    .1992446
                     |
                  pm |
                  2  |  -.2275668   .0835851    -2.72   0.017    -.4081414   -.0469922
                  3  |  -.1274197   .0615323    -2.07   0.059    -.2603522    .0055127
                     |
     ws_cab_rescaled |  -.2337772   .1224868    -1.91   0.079    -.4983937    .0308394
                     |
pm#c.ws_cab_rescaled |
                  2  |   .3276233   .1328604     2.47   0.028     .0405958    .6146508
                  3  |   .3565902   .1324327     2.69   0.018     .0704867    .6426937
                     |
           portfolio |
                  2  |  -.0177107    .072293    -0.24   0.810    -.1738903    .1384688
                  3  |   .0263634   .0745339     0.35   0.729    -.1346573    .1873842
                  4  |   .0658688   .0711673     0.93   0.372    -.0878788    .2196164
                  5  |   -.014163   .0993266    -0.14   0.889     -.228745     .200419
                  6  |  -.0229845   .0870163    -0.26   0.796    -.2109718    .1650028
                  7  |  -.2673047    .345541    -0.77   0.453    -1.013801    .4791913
                  8  |   .0284797   .0655232     0.43   0.671    -.1130746    .1700339
                  9  |  -.0480731   .0532253    -0.90   0.383    -.1630594    .0669132
                 10  |  -.0898594   .1282134    -0.70   0.496    -.3668476    .1871288
                 11  |  -.0413255    .058573    -0.71   0.493    -.1678648    .0852137
                 12  |   .0484393    .089221     0.54   0.596    -.1443109    .2411894
                 13  |  -.0564607   .0497864    -1.13   0.277    -.1640177    .0510964
                 14  |  -.2595124   .2243338    -1.16   0.268    -.7441561    .2251312
                     |
               _cons |     .04897   .0952364     0.51   0.616    -.1567757    .2547156
--------------------------------------------------------------------------------------

. estimates store pm_capital

. 
. reg avg_change_current_share junior same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =     131
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1562
                                                       Root MSE      =   .6782

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
avg_change_current~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
              junior |   .0697882   .0798962     0.87   0.398    -.1028171    .2423934
          same_party |  -.0554546    .064959    -0.85   0.409    -.1957899    .0848807
                     |
                  pm |
                  2  |   .1817334   .0717962     2.53   0.025     .0266272    .3368396
                  3  |    .225948   .1230165     1.84   0.089     -.039813     .491709
                     |
     ws_cab_rescaled |   .0796202   .1380413     0.58   0.574    -.2185999    .3778404
                     |
pm#c.ws_cab_rescaled |
                  2  |  -.4886935   .4211578    -1.16   0.267     -1.39855    .4211626
                  3  |  -.7244131   .2369166    -3.06   0.009     -1.23624   -.2125858
                     |
           portfolio |
                  2  |    .205969   .1847684     1.11   0.285    -.1931988    .6051367
                  3  |   .6515985    .217474     3.00   0.010     .1817746    1.121422
                  4  |   .0692586   .1996196     0.35   0.734    -.3619932    .5005105
                  5  |   .4114499   .2666483     1.54   0.147    -.1646087    .9875084
                  6  |  -.0750342   .2637007    -0.28   0.780    -.6447249    .4946565
                  7  |   .0658832   .1517755     0.43   0.671    -.2620078    .3937741
                  8  |    .224556   .1855903     1.21   0.248    -.1763875    .6254994
                  9  |   .2387277   .1782861     1.34   0.204     -.146436    .6238913
                 10  |   .3337444   .4991645     0.67   0.515    -.7446349    1.412124
                 11  |   .1837301    .129903     1.41   0.181    -.0969083    .4643684
                 12  |   .2087955   .1917774     1.09   0.296    -.2055143    .6231054
                 13  |   .9056517   .7369749     1.23   0.241    -.6864858    2.497789
                 14  |   .4642908   .2445927     1.90   0.080    -.0641197    .9927013
                     |
               _cons |  -.2565104   .1472176    -1.74   0.105    -.5745546    .0615338
--------------------------------------------------------------------------------------

. estimates store pm_current

. 
. /* #delimit;
> estout * using "./tables/appendix_table4.4-regression_output_all_models_unique_ministers.tex", style(tex)
> cells("b(star fmt(2))" "se(par fmt(2))")
> stats(r2 N, labels(R-squared "N. of cases") fmt(2 0))
> starlevels(* 0.05)
> label legend
> varlabels(_cons Intercept)
> replace;
> #delimit cr */
. 
. /* PRINT TABLE 4.4 IN APPENDIX */
. #delimit;
delimiter now ;
. estout *,
> cells("b(star fmt(2))" "se(par fmt(2))")
> stats(r2 N, labels(R-squared "N. of cases") fmt(2 0))
> starlevels(* 0.05)
> label legend
> varlabels(_cons Intercept)
> replace;

--------------------------------------------------------------------------------------------------------
                     debt_capital  debt_current    ur_capital    ur_current    pm_capital    pm_current 
                             b/se          b/se          b/se          b/se          b/se          b/se 
--------------------------------------------------------------------------------------------------------
junior                      -0.01          0.07         -0.02          0.07         -0.01          0.07 
                           (0.04)        (0.07)        (0.03)        (0.05)        (0.05)        (0.08) 
same_party                  -0.01         -0.02         -0.00         -0.04          0.02         -0.06 
                           (0.07)        (0.05)        (0.08)        (0.06)        (0.08)        (0.06) 
dpgChange                   -0.01*         0.01*                                                        
                           (0.00)        (0.00)                                                         
ws.cab.rescaled             -0.19         -0.00         -0.13         -0.13         -0.23          0.08 
                           (0.10)        (0.13)        (0.11)        (0.16)        (0.12)        (0.14) 
dpgChange # ws.cab~d         0.01*        -0.03*                                                        
                           (0.00)        (0.01)                                                         
Agriculture                  0.00          0.00          0.00          0.00          0.00          0.00 
                              (.)           (.)           (.)           (.)           (.)           (.) 
Arts                         0.01          0.17         -0.00          0.18         -0.02          0.21 
                           (0.08)        (0.17)        (0.08)        (0.15)        (0.07)        (0.18) 
Children                     0.12          0.58*         0.10          0.57*         0.03          0.65*
                           (0.08)        (0.22)        (0.08)        (0.17)        (0.07)        (0.22) 
Defence                      0.07          0.06          0.07          0.08          0.07          0.07 
                           (0.07)        (0.20)        (0.09)        (0.20)        (0.07)        (0.20) 
Education                    0.01          0.37          0.03          0.34         -0.01          0.41 
                           (0.10)        (0.26)        (0.10)        (0.26)        (0.10)        (0.27) 
Enterprise                   0.00         -0.12          0.02         -0.13         -0.02         -0.08 
                           (0.09)        (0.27)        (0.10)        (0.24)        (0.09)        (0.26) 
Environment                 -0.26          0.02         -0.21         -0.03         -0.27          0.07 
                           (0.35)        (0.14)        (0.36)        (0.13)        (0.35)        (0.15) 
Foreign                      0.08          0.18          0.07          0.17          0.03          0.22 
                           (0.08)        (0.19)        (0.08)        (0.16)        (0.07)        (0.19) 
Gaeltacht                   -0.02          0.19          0.00          0.15         -0.05          0.24 
                           (0.05)        (0.18)        (0.06)        (0.16)        (0.05)        (0.18) 
Health                      -0.06          0.29         -0.05          0.27         -0.09          0.33 
                           (0.14)        (0.48)        (0.13)        (0.46)        (0.13)        (0.50) 
Justice                     -0.05          0.20         -0.03          0.14         -0.04          0.18 
                           (0.07)        (0.12)        (0.08)        (0.12)        (0.06)        (0.13) 
Resources                    0.05          0.19          0.07          0.15          0.05          0.21 
                           (0.10)        (0.18)        (0.10)        (0.16)        (0.09)        (0.19) 
Social                      -0.04          0.88         -0.01          0.82         -0.06          0.91 
                           (0.05)        (0.74)        (0.05)        (0.73)        (0.05)        (0.74) 
Transport                   -0.19          0.41         -0.23          0.45         -0.26          0.46 
                           (0.22)        (0.24)        (0.25)        (0.31)        (0.22)        (0.24) 
urChange                                                -0.08          0.08*                            
                                                       (0.04)        (0.03)                             
urChange # ws.cab.~d                                     0.10         -0.10                             
                                                       (0.05)        (0.10)                             
Ahern                                                                                0.00          0.00 
                                                                                      (.)           (.) 
Cowen                                                                               -0.23*         0.18*
                                                                                   (0.08)        (0.07) 
Kenny                                                                               -0.13          0.23 
                                                                                   (0.06)        (0.12) 
Ahern # ws.cab.res~d                                                                 0.00          0.00 
                                                                                      (.)           (.) 
Cowen # ws.cab.res~d                                                                 0.33*        -0.49 
                                                                                   (0.13)        (0.42) 
Kenny # ws.cab.res~d                                                                 0.36*        -0.72*
                                                                                   (0.13)        (0.24) 
Intercept                    0.02         -0.23         -0.01         -0.17          0.05         -0.26 
                           (0.11)        (0.13)        (0.12)        (0.12)        (0.10)        (0.15) 
--------------------------------------------------------------------------------------------------------
R-squared                    0.19          0.17          0.17          0.14          0.18          0.16 
N. of cases                   131           131           131           131           131           131 
--------------------------------------------------------------------------------------------------------
* p<0.05

. #delimit cr
delimiter now cr
. 
. restore

. 
. 
. /* Estimate regressions with cabinet ministers only (i.e., excluding junior ministers) */
. /* -------------------------------------------------------------------------------------- */
. preserve

. drop if junior==1
(79 observations deleted)

. 
. /* conditional on debt */
. estimates clear

. reg change_capital_share same_party c.dpgChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =      80
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.3913
                                                       Root MSE      =  .21978

                                            (Std. Err. adjusted for 14 clusters in budget_year)
-----------------------------------------------------------------------------------------------
                              |               Robust
         change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------+----------------------------------------------------------------
                   same_party |  -.1425575   .0370588    -3.85   0.002    -.2226182   -.0624969
                    dpgChange |  -.0072297   .0021415    -3.38   0.005     -.011856   -.0026033
              ws_cab_rescaled |  -.3295606   .1635495    -2.02   0.065    -.6828878    .0237667
                              |
c.dpgChange#c.ws_cab_rescaled |   .0137558    .007937     1.73   0.107    -.0033911    .0309026
                              |
                    portfolio |
                           2  |     .05458   .1213131     0.45   0.660    -.2075009     .316661
                           3  |    .178867    .053498     3.34   0.005     .0632917    .2944424
                           4  |   .1615261   .0812221     1.99   0.068    -.0139435    .3369958
                           5  |  -.0297993   .0950887    -0.31   0.759    -.2352259    .1756274
                           6  |   .1185441   .1032571     1.15   0.272    -.1045293    .3416175
                           7  |  -.5096447   .1605362    -3.17   0.007    -.8564622   -.1628273
                           8  |   .0430118   .1177626     0.37   0.721    -.2113988    .2974223
                           9  |   .0602081   .0709757     0.85   0.412    -.0931257    .2135418
                          10  |   .0034779   .1798868     0.02   0.985     -.385144    .3920998
                          11  |   -.055105   .1081245    -0.51   0.619    -.2886938    .1784838
                          12  |   .0036393   .0750847     0.05   0.962    -.1585712    .1658498
                          13  |  -.0207037   .0920487    -0.22   0.826    -.2195629    .1781554
                          14  |  -.2074869   .3054911    -0.68   0.509    -.8674602    .4524864
                              |
                        _cons |   .1179085   .1099231     1.07   0.303     -.119566     .355383
-----------------------------------------------------------------------------------------------

. estimates store debt_capital

. 
. reg change_current_share same_party c.dpgChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =      80
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2372
                                                       Root MSE      =   .8053

                                            (Std. Err. adjusted for 14 clusters in budget_year)
-----------------------------------------------------------------------------------------------
                              |               Robust
         change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------------+----------------------------------------------------------------
                   same_party |   .2629292   .1384578     1.90   0.080    -.0361906     .562049
                    dpgChange |   .0197235   .0079781     2.47   0.028     .0024879     .036959
              ws_cab_rescaled |   .1551336   .2348246     0.66   0.520    -.3521741    .6624414
                              |
c.dpgChange#c.ws_cab_rescaled |  -.0472233   .0183411    -2.57   0.023    -.0868469   -.0075998
                              |
                    portfolio |
                           2  |   .2285162   .4091246     0.56   0.586    -.6553437    1.112376
                           3  |   .5937064   .4369541     1.36   0.197    -.3502756    1.537688
                           4  |   .1185713   .4355465     0.27   0.790    -.8223696    1.059512
                           5  |   .7979835   .2611231     3.06   0.009     .2338613    1.362106
                           6  |  -.2081141   .5808639    -0.36   0.726    -1.462994    1.046766
                           7  |   .2322392   .2815137     0.82   0.424    -.3759343    .8404126
                           8  |   .3018852   .3530543     0.86   0.408    -.4608423    1.064613
                           9  |   .2764394   .4937601     0.56   0.585    -.7902645    1.343143
                          10  |   .3138056   .4344043     0.72   0.483    -.6246679    1.252279
                          11  |   .3852344   .3503943     1.10   0.292    -.3717464    1.142215
                          12  |   .4527611   .3151623     1.44   0.174    -.2281056    1.133628
                          13  |   1.006461   .9283055     1.08   0.298    -.9990213    3.011943
                          14  |   .4890546    .276794     1.77   0.101    -.1089224    1.087032
                              |
                        _cons |  -.6188282   .3514728    -1.76   0.102    -1.378139    .1404825
-----------------------------------------------------------------------------------------------

. estimates store debt_current

. 
. 
. /* conditional on unemployment */    
. reg change_capital_share same_party c.urChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =      80
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2941
                                                       Root MSE      =  .23666

                                           (Std. Err. adjusted for 14 clusters in budget_year)
----------------------------------------------------------------------------------------------
                             |               Robust
        change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
                  same_party |  -.0914734   .0469787    -1.95   0.073    -.1929647     .010018
                    urChange |  -.0310332   .0264835    -1.17   0.262    -.0882473    .0261809
             ws_cab_rescaled |  -.2456011    .146256    -1.68   0.117     -.561568    .0703658
                             |
c.urChange#c.ws_cab_rescaled |   .0543734   .0365499     1.49   0.161    -.0245879    .1333346
                             |
                   portfolio |
                          2  |   .1041412    .129036     0.81   0.434    -.1746242    .3829065
                          3  |   .2103391   .0822831     2.56   0.024     .0325774    .3881009
                          4  |   .2104909   .0927966     2.27   0.041     .0100159    .4109659
                          5  |   .0422237   .1030787     0.41   0.689    -.1804643    .2649116
                          6  |   .1662123   .1014517     1.64   0.125    -.0529609    .3853855
                          7  |  -.3673162   .1923478    -1.91   0.078    -.7828583    .0482259
                          8  |     .08817   .1116745     0.79   0.444    -.1530881     .329428
                          9  |   .1336524   .0837451     1.60   0.135    -.0472678    .3145726
                         10  |   .0757537   .1878556     0.40   0.693    -.3300837    .4815912
                         11  |    .050667   .1101526     0.46   0.653    -.1873032    .2886372
                         12  |   .0880492   .0896823     0.98   0.344    -.1056975    .2817959
                         13  |   .0819216   .0977271     0.84   0.417     -.129205    .2930482
                         14  |  -.1649903   .3482425    -0.47   0.644    -.9173226     .587342
                             |
                       _cons |  -.0249281   .1200205    -0.21   0.839    -.2842165    .2343604
----------------------------------------------------------------------------------------------

. estimates store ur_capital

. 
. reg change_current_share same_party c.urChange##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =      80
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.1984
                                                       Root MSE      =  .82557

                                           (Std. Err. adjusted for 14 clusters in budget_year)
----------------------------------------------------------------------------------------------
                             |               Robust
        change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
                  same_party |   .1258435   .1264853     0.99   0.338    -.1474114    .3990984
                    urChange |   .1824821   .1051264     1.74   0.106    -.0446298     .409594
             ws_cab_rescaled |  -.1760789   .2801931    -0.63   0.541    -.7813992    .4292415
                             |
c.urChange#c.ws_cab_rescaled |  -.2355379   .1990661    -1.18   0.258    -.6655941    .1945183
                             |
                   portfolio |
                          2  |   .2242985   .3585544     0.63   0.542    -.5503111    .9989081
                          3  |   .5794879   .3827812     1.51   0.154    -.2474607    1.406436
                          4  |   .1682805   .4123478     0.41   0.690    -.7225428    1.059104
                          5  |   .6689552   .2844755     2.35   0.035     .0543831    1.283527
                          6  |  -.2094885   .5448884    -0.38   0.707    -1.386648    .9676713
                          7  |  -.2407327    .287774    -0.84   0.418    -.8624306    .3809652
                          8  |   .2828132   .3186004     0.89   0.391    -.4054812    .9711076
                          9  |   .2174564   .4497693     0.48   0.637    -.7542112    1.189124
                         10  |   .2375781   .3887663     0.61   0.552    -.6023004    1.077457
                         11  |   .2540769   .3363512     0.76   0.463    -.4725657    .9807195
                         12  |   .2821499   .2721653     1.04   0.319    -.3058274    .8701273
                         13  |   .8731717   .8970134     0.97   0.348    -1.064708    2.811051
                         14  |   .4780647   .3413352     1.40   0.185    -.2593451    1.215475
                             |
                       _cons |  -.3747635   .3098917    -1.21   0.248    -1.044244    .2947168
----------------------------------------------------------------------------------------------

. estimates store ur_current

. 
. 
. /* conditional on PM */    
. reg change_capital_share same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =      80
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4293
                                                       Root MSE      =  .21632

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_capital_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
          same_party |  -.1416095   .0399015    -3.55   0.004    -.2278115   -.0554075
                     |
                  pm |
                  2  |  -.2068203   .0526474    -3.93   0.002    -.3205582   -.0930825
                  3  |   -.140104   .0547804    -2.56   0.024    -.2584497   -.0217582
                     |
     ws_cab_rescaled |  -.4155778   .2228578    -1.86   0.085    -.8970328    .0658772
                     |
pm#c.ws_cab_rescaled |
                  2  |   .3870553   .2306766     1.68   0.117    -.1112911    .8854017
                  3  |   .5792295    .257015     2.25   0.042     .0239825    1.134477
                     |
           portfolio |
                  2  |   -.013142   .1256915    -0.10   0.918    -.2846821     .258398
                  3  |   .0255886   .1122568     0.23   0.823    -.2169274    .2681045
                  4  |   .1108563   .1039873     1.07   0.306    -.1137946    .3355072
                  5  |  -.1046199   .1134229    -0.92   0.373    -.3496551    .1404154
                  6  |   .0558868   .1172191     0.48   0.641    -.1973498    .3091233
                  7  |  -.5715134   .1488651    -3.84   0.002     -.893117   -.2499098
                  8  |  -.0408548   .1588226    -0.26   0.801    -.3839701    .3022605
                  9  |   .0117309   .0798193     0.15   0.885    -.1607082    .1841701
                 10  |  -.0608859    .182677    -0.33   0.744    -.4555356    .3337639
                 11  |  -.1000709   .1139055    -0.88   0.396    -.3461487     .146007
                 12  |  -.0526838   .0900924    -0.58   0.569    -.2473165    .1419489
                 13  |  -.0790716   .1040735    -0.76   0.461    -.3039089    .1457656
                 14  |  -.2866152   .2936791    -0.98   0.347    -.9210703    .3478399
                     |
               _cons |   .2090597   .1267119     1.65   0.123    -.0646848    .4828041
--------------------------------------------------------------------------------------

. estimates store pm_capital

. 
. reg change_current_share same_party i.pm##c.ws_cab_rescaled i.portfolio, vce(cluster budget_year)

Linear regression                                      Number of obs =      80
                                                       F( 12,    13) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2140
                                                       Root MSE      =  .83098

                                   (Std. Err. adjusted for 14 clusters in budget_year)
--------------------------------------------------------------------------------------
                     |               Robust
change_current_share |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
          same_party |   .2208629     .13455     1.64   0.125    -.0698147    .5115406
                     |
                  pm |
                  2  |   .5031438   .1874984     2.68   0.019     .0980781    .9082095
                  3  |   .2150439   .2000584     1.07   0.302     -.217156    .6472438
                     |
     ws_cab_rescaled |   .2617375   .2831637     0.92   0.372    -.3500004    .8734754
                     |
pm#c.ws_cab_rescaled |
                  2  |  -1.182663   .5351583    -2.21   0.046    -2.338802   -.0265235
                  3  |  -.8842714   .4340959    -2.04   0.063    -1.822079    .0535358
                     |
           portfolio |
                  2  |   .2890104   .3613326     0.80   0.438    -.4916012    1.069622
                  3  |   .7588257   .3121685     2.43   0.030     .0844267    1.433225
                  4  |   .1469915   .4042343     0.36   0.722    -.7263035    1.020287
                  5  |    .829261   .3007736     2.76   0.016     .1794791    1.479043
                  6  |  -.1429183   .5620326    -0.25   0.803    -1.357116    1.071279
                  7  |   .1805267   .2831362     0.64   0.535    -.4311518    .7922052
                  8  |   .4398897   .3727146     1.18   0.259    -.3653113    1.245091
                  9  |   .2669037    .465133     0.57   0.576     -.737955    1.271762
                 10  |    .329652   .4366969     0.75   0.464    -.6137743    1.273078
                 11  |   .3198396   .3211652     1.00   0.337    -.3739957    1.013675
                 12  |   .4453585   .3084796     1.44   0.172    -.2210711    1.111788
                 13  |   .9637059   .9157789     1.05   0.312    -1.014714    2.942126
                 14  |   .6085843   .3367214     1.81   0.094    -.1188582    1.336027
                     |
               _cons |  -.6362212    .392781    -1.62   0.129    -1.484773    .2123305
--------------------------------------------------------------------------------------

. estimates store pm_current

. 
. /* #delimit;
> estout * using "./tables/appendix_table4.5-regression_output_cab_ministers_only.tex", style(tex)
> cells("b(star fmt(2))" "se(par fmt(2))")
> stats(r2 N, labels(R-squared "N. of cases") fmt(2 0))
> starlevels(* 0.05)
> label legend
> varlabels(_cons Intercept)
> replace;
> #delimit cr */
. 
. /* PRINT TABLE 4.5 IN APPENDIX */
. #delimit;
delimiter now ;
. estout *,
> cells("b(star fmt(2))" "se(par fmt(2))")
> stats(r2 N, labels(R-squared "N. of cases") fmt(2 0))
> starlevels(* 0.05)
> label legend
> varlabels(_cons Intercept)
> replace;

--------------------------------------------------------------------------------------------------------
                     debt_capital  debt_current    ur_capital    ur_current    pm_capital    pm_current 
                             b/se          b/se          b/se          b/se          b/se          b/se 
--------------------------------------------------------------------------------------------------------
same_party                  -0.14*         0.26         -0.09          0.13         -0.14*         0.22 
                           (0.04)        (0.14)        (0.05)        (0.13)        (0.04)        (0.13) 
dpgChange                   -0.01*         0.02*                                                        
                           (0.00)        (0.01)                                                         
ws.cab.rescaled             -0.33          0.16         -0.25         -0.18         -0.42          0.26 
                           (0.16)        (0.23)        (0.15)        (0.28)        (0.22)        (0.28) 
dpgChange # ws.cab~d         0.01         -0.05*                                                        
                           (0.01)        (0.02)                                                         
Agriculture                  0.00          0.00          0.00          0.00          0.00          0.00 
                              (.)           (.)           (.)           (.)           (.)           (.) 
Arts                         0.05          0.23          0.10          0.22         -0.01          0.29 
                           (0.12)        (0.41)        (0.13)        (0.36)        (0.13)        (0.36) 
Children                     0.18*         0.59          0.21*         0.58          0.03          0.76*
                           (0.05)        (0.44)        (0.08)        (0.38)        (0.11)        (0.31) 
Defence                      0.16          0.12          0.21*         0.17          0.11          0.15 
                           (0.08)        (0.44)        (0.09)        (0.41)        (0.10)        (0.40) 
Education                   -0.03          0.80*         0.04          0.67*        -0.10          0.83*
                           (0.10)        (0.26)        (0.10)        (0.28)        (0.11)        (0.30) 
Enterprise                   0.12         -0.21          0.17         -0.21          0.06         -0.14 
                           (0.10)        (0.58)        (0.10)        (0.54)        (0.12)        (0.56) 
Environment                 -0.51*         0.23         -0.37         -0.24         -0.57*         0.18 
                           (0.16)        (0.28)        (0.19)        (0.29)        (0.15)        (0.28) 
Foreign                      0.04          0.30          0.09          0.28         -0.04          0.44 
                           (0.12)        (0.35)        (0.11)        (0.32)        (0.16)        (0.37) 
Gaeltacht                    0.06          0.28          0.13          0.22          0.01          0.27 
                           (0.07)        (0.49)        (0.08)        (0.45)        (0.08)        (0.47) 
Health                       0.00          0.31          0.08          0.24         -0.06          0.33 
                           (0.18)        (0.43)        (0.19)        (0.39)        (0.18)        (0.44) 
Justice                     -0.06          0.39          0.05          0.25         -0.10          0.32 
                           (0.11)        (0.35)        (0.11)        (0.34)        (0.11)        (0.32) 
Resources                    0.00          0.45          0.09          0.28         -0.05          0.45 
                           (0.08)        (0.32)        (0.09)        (0.27)        (0.09)        (0.31) 
Social                      -0.02          1.01          0.08          0.87         -0.08          0.96 
                           (0.09)        (0.93)        (0.10)        (0.90)        (0.10)        (0.92) 
Transport                   -0.21          0.49         -0.16          0.48         -0.29          0.61 
                           (0.31)        (0.28)        (0.35)        (0.34)        (0.29)        (0.34) 
urChange                                                -0.03          0.18                             
                                                       (0.03)        (0.11)                             
urChange # ws.cab.~d                                     0.05         -0.24                             
                                                       (0.04)        (0.20)                             
Ahern                                                                                0.00          0.00 
                                                                                      (.)           (.) 
Cowen                                                                               -0.21*         0.50*
                                                                                   (0.05)        (0.19) 
Kenny                                                                               -0.14*         0.22 
                                                                                   (0.05)        (0.20) 
Ahern # ws.cab.res~d                                                                 0.00          0.00 
                                                                                      (.)           (.) 
Cowen # ws.cab.res~d                                                                 0.39         -1.18*
                                                                                   (0.23)        (0.54) 
Kenny # ws.cab.res~d                                                                 0.58*        -0.88 
                                                                                   (0.26)        (0.43) 
Intercept                    0.12         -0.62         -0.02         -0.37          0.21         -0.64 
                           (0.11)        (0.35)        (0.12)        (0.31)        (0.13)        (0.39) 
--------------------------------------------------------------------------------------------------------
R-squared                    0.39          0.24          0.29          0.20          0.43          0.21 
N. of cases                    80            80            80            80            80            80 
--------------------------------------------------------------------------------------------------------
* p<0.05

. #delimit cr
delimiter now cr
. 
. restore

. 
. 
end of do-file

. 
. log close
      name:  <unnamed>
       log:  Z:\home\alex\Research\Projects\budget_game\analysis-clean\Stata_scripts.log
  log type:  text
 closed on:  11 Jun 2019, 11:07:38
-----------------------------------------------------------------------------------------------------------------------------------------
